diff --git a/examples/indexer/index-file-loader.php b/examples/indexer/index-file-loader.php
index 82a455431..311d40d42 100644
--- a/examples/indexer/index-file-loader.php
+++ b/examples/indexer/index-file-loader.php
@@ -10,6 +10,7 @@
  */
 
 use Symfony\AI\Platform\Bridge\OpenAi\PlatformFactory;
+use Symfony\AI\Store\Document\Loader;
 use Symfony\AI\Store\Document\Loader\TextFileLoader;
 use Symfony\AI\Store\Document\Transformer\TextReplaceTransformer;
 use Symfony\AI\Store\Document\Transformer\TextSplitTransformer;
@@ -23,21 +24,22 @@
 $store = new InMemoryStore();
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small');
 $indexer = new Indexer(
-    loader: new TextFileLoader(),
+    loader: new Loader([TextFileLoader::supportedSource() => new TextFileLoader()]),
     vectorizer: $vectorizer,
     store: $store,
-    source: [
-        dirname(__DIR__, 2).'/fixtures/movies/gladiator.md',
-        dirname(__DIR__, 2).'/fixtures/movies/inception.md',
-        dirname(__DIR__, 2).'/fixtures/movies/jurassic-park.md',
-    ],
     transformers: [
         new TextReplaceTransformer(search: '## Plot', replace: '## Synopsis'),
         new TextSplitTransformer(chunkSize: 500, overlap: 100),
     ],
 );
 
-$indexer->index();
+$sources = TextFileLoader::createSource([
+    dirname(__DIR__, 2).'/fixtures/movies/gladiator.md',
+    dirname(__DIR__, 2).'/fixtures/movies/inception.md',
+    dirname(__DIR__, 2).'/fixtures/movies/jurassic-park.md',
+]);
+
+$indexer->index($sources);
 
 $vector = $vectorizer->vectorize('Roman gladiator revenge');
 $results = $store->query($vector);
diff --git a/examples/indexer/index-inmemory-loader.php b/examples/indexer/index-inmemory-loader.php
index 2425bba4b..075c29d4a 100644
--- a/examples/indexer/index-inmemory-loader.php
+++ b/examples/indexer/index-inmemory-loader.php
@@ -10,8 +10,10 @@
  */
 
 use Symfony\AI\Platform\Bridge\OpenAi\PlatformFactory;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
+use Symfony\AI\Store\Document\Source\DocumentCollection;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Transformer\TextSplitTransformer;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -25,7 +27,7 @@
 $store = new InMemoryStore();
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small');
 
-$documents = [
+$sources = new DocumentCollection([
     new TextDocument(
         Uuid::v4(),
         'Artificial Intelligence is transforming the way we work and live. Machine learning algorithms can now process vast amounts of data and make predictions with remarkable accuracy.',
@@ -36,19 +38,18 @@
         'Climate change is one of the most pressing challenges of our time. Renewable energy sources like solar and wind power are becoming increasingly important for a sustainable future.',
         new Metadata(['title' => 'Climate Action'])
     ),
-];
+]);
 
 $indexer = new Indexer(
-    loader: new InMemoryLoader($documents),
+    loader: new Loader([DocumentCollectionLoader::supportedSource() => new DocumentCollectionLoader()]),
     vectorizer: $vectorizer,
     store: $store,
-    source: null,
     transformers: [
         new TextSplitTransformer(chunkSize: 100, overlap: 20),
     ],
 );
 
-$indexer->index();
+$indexer->index($sources);
 
 $vector = $vectorizer->vectorize('machine learning artificial intelligence');
 $results = $store->query($vector);
diff --git a/examples/indexer/index-rss-loader.php b/examples/indexer/index-rss-loader.php
index f21ccfbf9..fb88aa06a 100644
--- a/examples/indexer/index-rss-loader.php
+++ b/examples/indexer/index-rss-loader.php
@@ -10,6 +10,7 @@
  */
 
 use Symfony\AI\Platform\Bridge\OpenAi\PlatformFactory;
+use Symfony\AI\Store\Document\Loader;
 use Symfony\AI\Store\Document\Loader\RssFeedLoader;
 use Symfony\AI\Store\Document\Transformer\TextSplitTransformer;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -23,19 +24,20 @@
 $store = new InMemoryStore();
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small');
 $indexer = new Indexer(
-    loader: new RssFeedLoader(HttpClient::create()),
+    loader: new Loader([RssFeedLoader::supportedSource() => new RssFeedLoader(HttpClient::create())]),
     vectorizer: $vectorizer,
     store: $store,
-    source: [
-        'https://feeds.feedburner.com/symfony/blog',
-        'https://www.tagesschau.de/index~rss2.xml',
-    ],
     transformers: [
         new TextSplitTransformer(chunkSize: 500, overlap: 100),
     ],
 );
 
-$indexer->index();
+$sources = RssFeedLoader::createSource([
+    'https://feeds.feedburner.com/symfony/blog',
+    'https://www.tagesschau.de/index~rss2.xml',
+]);
+
+$indexer->index($sources);
 
 $vector = $vectorizer->vectorize('Week of Symfony');
 $results = $store->query($vector);
diff --git a/examples/indexer/index-with-filters.php b/examples/indexer/index-with-filters.php
index 4f7894375..0325ad628 100644
--- a/examples/indexer/index-with-filters.php
+++ b/examples/indexer/index-with-filters.php
@@ -11,8 +11,10 @@
 
 use Symfony\AI\Platform\Bridge\OpenAi\PlatformFactory;
 use Symfony\AI\Store\Document\Filter\TextContainsFilter;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
+use Symfony\AI\Store\Document\Source\DocumentCollection;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Transformer\TextTrimTransformer;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -27,7 +29,7 @@
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small');
 
 // Sample documents with some unwanted content
-$documents = [
+$documents = new DocumentCollection([
     new TextDocument(
         Uuid::v4(),
         'Artificial Intelligence is transforming the way we work and live. Machine learning algorithms can now process vast amounts of data and make predictions with remarkable accuracy.',
@@ -48,7 +50,7 @@
         'Climate change is one of the most pressing challenges of our time. Renewable energy sources like solar and wind power are becoming increasingly important for a sustainable future.',
         new Metadata(['title' => 'Climate Action', 'category' => 'environment'])
     ),
-];
+]);
 
 // Create filters to remove unwanted content
 $filters = [
@@ -57,17 +59,16 @@
 ];
 
 $indexer = new Indexer(
-    loader: new InMemoryLoader($documents),
+    loader: new Loader([DocumentCollectionLoader::supportedSource() => new DocumentCollectionLoader()]),
     vectorizer: $vectorizer,
     store: $store,
-    source: null,
     filters: $filters,
     transformers: [
         new TextTrimTransformer(),
     ],
 );
 
-$indexer->index();
+$indexer->index($documents);
 
 $vector = $vectorizer->vectorize('technology artificial intelligence');
 $results = $store->query($vector);
@@ -81,7 +82,7 @@
 }
 
 echo "=== Results Summary ===\n";
-echo sprintf("Original documents: %d\n", count($documents));
-echo sprintf("Documents after filtering: %d\n", count($results));
-echo sprintf("Filtered out: %d documents\n", count($documents) - count($results));
+echo sprintf("Original documents: %d\n", count($documents->getDocuments()));
+echo sprintf("Documents after filtering: %d\n", $i + 1);
+echo sprintf("Filtered out: %d documents\n", count($documents->getDocuments()) - ($i + 1));
 echo "\nThe 'Week of Symfony' newsletter and SPAM advertisement were successfully filtered out!\n";
diff --git a/examples/memory/mariadb.php b/examples/memory/mariadb.php
index d3641098c..9d6023587 100644
--- a/examples/memory/mariadb.php
+++ b/examples/memory/mariadb.php
@@ -18,7 +18,7 @@
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
 use Symfony\AI\Store\Bridge\MariaDb\Store;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -57,7 +57,7 @@
 // create embeddings for documents as preparation of the chain memory
 $platform = PlatformFactory::create(env('OPENAI_API_KEY'), http_client());
 $vectorizer = new Vectorizer($platform, $embeddings = 'text-embedding-3-small');
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 // Execute a chat call that is utilizing the memory
diff --git a/examples/ollama/rag.php b/examples/ollama/rag.php
index cb9959ad7..21caeb21c 100644
--- a/examples/ollama/rag.php
+++ b/examples/ollama/rag.php
@@ -17,7 +17,7 @@
 use Symfony\AI\Platform\Bridge\Ollama\PlatformFactory;
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -43,7 +43,7 @@
 // create embeddings for documents
 $platform = PlatformFactory::create(env('OLLAMA_HOST_URL'), http_client());
 $vectorizer = new Vectorizer($platform, env('OLLAMA_EMBEDDINGS'), logger());
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 $similaritySearch = new SimilaritySearch($vectorizer, $store);
diff --git a/examples/rag/cache.php b/examples/rag/cache.php
index 3ef15ee06..dbabafa5b 100644
--- a/examples/rag/cache.php
+++ b/examples/rag/cache.php
@@ -18,7 +18,7 @@
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
 use Symfony\AI\Store\Bridge\Cache\Store as CacheStore;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -44,7 +44,7 @@
 // create embeddings for documents
 $platform = PlatformFactory::create(env('OPENAI_API_KEY'), http_client());
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small', logger());
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 $similaritySearch = new SimilaritySearch($vectorizer, $store);
diff --git a/examples/rag/chromadb.php b/examples/rag/chromadb.php
index ebdb684d0..f5da93ee7 100644
--- a/examples/rag/chromadb.php
+++ b/examples/rag/chromadb.php
@@ -19,7 +19,7 @@
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
 use Symfony\AI\Store\Bridge\ChromaDb\Store;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -51,7 +51,7 @@
 // create embeddings for documents
 $platform = PlatformFactory::create(env('OPENAI_API_KEY'), http_client());
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small', logger());
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 $similaritySearch = new SimilaritySearch($vectorizer, $store);
diff --git a/examples/rag/clickhouse.php b/examples/rag/clickhouse.php
index 52d9c8f2e..53d83ed99 100644
--- a/examples/rag/clickhouse.php
+++ b/examples/rag/clickhouse.php
@@ -18,7 +18,7 @@
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
 use Symfony\AI\Store\Bridge\ClickHouse\Store;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -51,7 +51,7 @@
 // create embeddings for documents
 $platform = PlatformFactory::create(env('OPENAI_API_KEY'), http_client());
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small', logger());
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 $similaritySearch = new SimilaritySearch($vectorizer, $store);
diff --git a/examples/rag/cloudflare.php b/examples/rag/cloudflare.php
index f51e76637..ba9a377b8 100644
--- a/examples/rag/cloudflare.php
+++ b/examples/rag/cloudflare.php
@@ -18,7 +18,7 @@
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
 use Symfony\AI\Store\Bridge\Cloudflare\Store;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -51,7 +51,7 @@
 // create embeddings for documents (keep in mind that upserting vectors is asynchronous)
 $platform = PlatformFactory::create(env('OPENAI_API_KEY'), http_client());
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small', logger());
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 $similaritySearch = new SimilaritySearch($vectorizer, $store);
diff --git a/examples/rag/elasticsearch.php b/examples/rag/elasticsearch.php
index a23c076f9..d340c6fba 100644
--- a/examples/rag/elasticsearch.php
+++ b/examples/rag/elasticsearch.php
@@ -18,7 +18,7 @@
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
 use Symfony\AI\Store\Bridge\Elasticsearch\Store;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -50,7 +50,7 @@
 // create embeddings for documents
 $platform = PlatformFactory::create(env('OPENAI_API_KEY'), http_client());
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small', logger());
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 $similaritySearch = new SimilaritySearch($vectorizer, $store);
diff --git a/examples/rag/in-memory.php b/examples/rag/in-memory.php
index 8aff814b6..182162b08 100644
--- a/examples/rag/in-memory.php
+++ b/examples/rag/in-memory.php
@@ -17,7 +17,7 @@
 use Symfony\AI\Platform\Bridge\OpenAi\PlatformFactory;
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -43,7 +43,7 @@
 // create embeddings for documents
 $platform = PlatformFactory::create(env('OPENAI_API_KEY'), http_client());
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small', logger());
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 $similaritySearch = new SimilaritySearch($vectorizer, $store);
diff --git a/examples/rag/manticore.php b/examples/rag/manticore.php
index 5f8a569db..df071bdbf 100644
--- a/examples/rag/manticore.php
+++ b/examples/rag/manticore.php
@@ -18,7 +18,7 @@
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
 use Symfony\AI\Store\Bridge\ManticoreSearch\Store;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -51,7 +51,7 @@
 // create embeddings for documents
 $platform = PlatformFactory::create(env('OPENAI_API_KEY'), http_client());
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small', logger());
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 $similaritySearch = new SimilaritySearch($vectorizer, $store);
diff --git a/examples/rag/mariadb-gemini.php b/examples/rag/mariadb-gemini.php
index 2c44feb98..6b7672fac 100644
--- a/examples/rag/mariadb-gemini.php
+++ b/examples/rag/mariadb-gemini.php
@@ -20,7 +20,7 @@
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
 use Symfony\AI\Store\Bridge\MariaDb\Store;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -53,7 +53,7 @@
 $platform = PlatformFactory::create(env('GEMINI_API_KEY'), http_client());
 $model = 'gemini-embedding-exp-03-07?dimensions=768&task_type=SEMANTIC_SIMILARITY';
 $vectorizer = new Vectorizer($platform, $model, logger());
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 $similaritySearch = new SimilaritySearch($vectorizer, $store);
diff --git a/examples/rag/mariadb-openai.php b/examples/rag/mariadb-openai.php
index b616958a9..9cebbd727 100644
--- a/examples/rag/mariadb-openai.php
+++ b/examples/rag/mariadb-openai.php
@@ -20,7 +20,7 @@
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
 use Symfony\AI\Store\Bridge\MariaDb\Store;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -52,7 +52,7 @@
 // create embeddings for documents
 $platform = PlatformFactory::create(env('OPENAI_API_KEY'), http_client());
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small', logger());
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 $similaritySearch = new SimilaritySearch($vectorizer, $store);
diff --git a/examples/rag/meilisearch-hybrid.php b/examples/rag/meilisearch-hybrid.php
index cb8346b66..9d9e4aa45 100644
--- a/examples/rag/meilisearch-hybrid.php
+++ b/examples/rag/meilisearch-hybrid.php
@@ -12,7 +12,7 @@
 use Symfony\AI\Fixtures\Movies;
 use Symfony\AI\Platform\Bridge\OpenAi\PlatformFactory;
 use Symfony\AI\Store\Bridge\Meilisearch\Store;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -50,7 +50,7 @@
 // Create embeddings for documents
 $platform = PlatformFactory::create(env('OPENAI_API_KEY'), http_client());
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small', logger());
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 // Create a query embedding
diff --git a/examples/rag/meilisearch.php b/examples/rag/meilisearch.php
index e5ce5742e..df0495c25 100644
--- a/examples/rag/meilisearch.php
+++ b/examples/rag/meilisearch.php
@@ -18,7 +18,7 @@
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
 use Symfony\AI\Store\Bridge\Meilisearch\Store;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -51,7 +51,7 @@
 // create embeddings for documents
 $platform = PlatformFactory::create(env('OPENAI_API_KEY'), http_client());
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small', logger());
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 $similaritySearch = new SimilaritySearch($vectorizer, $store);
diff --git a/examples/rag/milvus.php b/examples/rag/milvus.php
index 1f8411bf8..0e29e6166 100644
--- a/examples/rag/milvus.php
+++ b/examples/rag/milvus.php
@@ -18,7 +18,7 @@
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
 use Symfony\AI\Store\Bridge\Milvus\Store;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -52,7 +52,7 @@
 // create embeddings for documents
 $platform = PlatformFactory::create(env('OPENAI_API_KEY'), http_client());
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small', logger());
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 $similaritySearch = new SimilaritySearch($vectorizer, $store);
diff --git a/examples/rag/mongodb.php b/examples/rag/mongodb.php
index 589f38838..871e641cc 100644
--- a/examples/rag/mongodb.php
+++ b/examples/rag/mongodb.php
@@ -19,7 +19,7 @@
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
 use Symfony\AI\Store\Bridge\MongoDb\Store;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -50,7 +50,7 @@
 // create embeddings for documents
 $platform = PlatformFactory::create(env('OPENAI_API_KEY'));
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small', logger());
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 // initialize the index
diff --git a/examples/rag/neo4j.php b/examples/rag/neo4j.php
index 8a109fbfe..ea04c361c 100644
--- a/examples/rag/neo4j.php
+++ b/examples/rag/neo4j.php
@@ -18,7 +18,7 @@
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
 use Symfony\AI\Store\Bridge\Neo4j\Store;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -54,7 +54,7 @@
 // create embeddings for documents
 $platform = PlatformFactory::create($_SERVER['OPENAI_API_KEY']);
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small', logger());
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 $similaritySearch = new SimilaritySearch($vectorizer, $store);
diff --git a/examples/rag/opensearch.php b/examples/rag/opensearch.php
index a23517fb5..2f792e10e 100644
--- a/examples/rag/opensearch.php
+++ b/examples/rag/opensearch.php
@@ -18,7 +18,7 @@
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
 use Symfony\AI\Store\Bridge\OpenSearch\Store;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -50,7 +50,7 @@
 // create embeddings for documents
 $platform = PlatformFactory::create(env('OPENAI_API_KEY'), http_client());
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small', logger());
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 $similaritySearch = new SimilaritySearch($vectorizer, $store);
diff --git a/examples/rag/pinecone.php b/examples/rag/pinecone.php
index 072dd6b96..76cb20653 100644
--- a/examples/rag/pinecone.php
+++ b/examples/rag/pinecone.php
@@ -19,7 +19,7 @@
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
 use Symfony\AI\Store\Bridge\Pinecone\Store;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -44,7 +44,7 @@
 // create embeddings for documents
 $platform = PlatformFactory::create(env('OPENAI_API_KEY'), http_client());
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small', logger());
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 $similaritySearch = new SimilaritySearch($vectorizer, $store);
diff --git a/examples/rag/postgres.php b/examples/rag/postgres.php
index 5a9dc126a..7f7fe8149 100644
--- a/examples/rag/postgres.php
+++ b/examples/rag/postgres.php
@@ -20,7 +20,7 @@
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
 use Symfony\AI\Store\Bridge\Postgres\Store;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -51,7 +51,7 @@
 // create embeddings for documents
 $platform = PlatformFactory::create(env('OPENAI_API_KEY'), http_client());
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small', logger());
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 $similaritySearch = new SimilaritySearch($vectorizer, $store);
diff --git a/examples/rag/qdrant.php b/examples/rag/qdrant.php
index 7a142ca53..83ff2f951 100644
--- a/examples/rag/qdrant.php
+++ b/examples/rag/qdrant.php
@@ -18,7 +18,7 @@
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
 use Symfony\AI\Store\Bridge\Qdrant\Store;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -51,7 +51,7 @@
 // create embeddings for documents
 $platform = PlatformFactory::create(env('OPENAI_API_KEY'), http_client());
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small', logger());
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 $similaritySearch = new SimilaritySearch($vectorizer, $store);
diff --git a/examples/rag/redis.php b/examples/rag/redis.php
index eb682a4ff..5aee17869 100644
--- a/examples/rag/redis.php
+++ b/examples/rag/redis.php
@@ -18,7 +18,7 @@
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
 use Symfony\AI\Store\Bridge\Redis\Store;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -53,7 +53,7 @@
 // create embeddings for documents
 $platform = PlatformFactory::create(env('OPENAI_API_KEY'), http_client());
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small', logger());
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 $similaritySearch = new SimilaritySearch($vectorizer, $store);
diff --git a/examples/rag/supabase.php b/examples/rag/supabase.php
index c7cdfca64..9317f936c 100644
--- a/examples/rag/supabase.php
+++ b/examples/rag/supabase.php
@@ -18,7 +18,7 @@
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
 use Symfony\AI\Store\Bridge\Supabase\Store;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -50,7 +50,7 @@ functionName: env('SUPABASE_MATCH_FUNCTION'),
 $platform = PlatformFactory::create(env('OLLAMA_HOST_URL'), http_client());
 
 $vectorizer = new Vectorizer($platform, env('OLLAMA_EMBEDDINGS'));
-$loader = new InMemoryLoader($documents);
+$loader = new DocumentCollectionLoader($documents);
 $indexer = new Indexer($loader, $vectorizer, $store, logger: logger());
 $indexer->index();
 
diff --git a/examples/rag/surrealdb.php b/examples/rag/surrealdb.php
index 4a99a39c0..85e07539b 100644
--- a/examples/rag/surrealdb.php
+++ b/examples/rag/surrealdb.php
@@ -18,7 +18,7 @@
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
 use Symfony\AI\Store\Bridge\SurrealDb\Store;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -54,7 +54,7 @@
 // create embeddings for documents
 $platform = PlatformFactory::create($_SERVER['OPENAI_API_KEY']);
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small', logger());
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 $similaritySearch = new SimilaritySearch($vectorizer, $store);
diff --git a/examples/rag/typesense.php b/examples/rag/typesense.php
index bd2128d02..8b8c723e7 100644
--- a/examples/rag/typesense.php
+++ b/examples/rag/typesense.php
@@ -18,7 +18,7 @@
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
 use Symfony\AI\Store\Bridge\Typesense\Store;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -51,7 +51,7 @@
 // create embeddings for documents
 $platform = PlatformFactory::create(env('OPENAI_API_KEY'), http_client());
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small', logger());
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 $similaritySearch = new SimilaritySearch($vectorizer, $store);
diff --git a/examples/rag/weaviate.php b/examples/rag/weaviate.php
index 15e14c46f..00226bfd2 100644
--- a/examples/rag/weaviate.php
+++ b/examples/rag/weaviate.php
@@ -19,7 +19,7 @@
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
 use Symfony\AI\Store\Bridge\Weaviate\Store;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -52,7 +52,7 @@
 // create embeddings for documents
 $platform = PlatformFactory::create(env('OPENAI_API_KEY'), http_client());
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small', logger());
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index($documents);
 
 $similaritySearch = new SimilaritySearch($vectorizer, $store);
diff --git a/examples/retriever/movies.php b/examples/retriever/movies.php
index 804dc7a15..9d7275fbd 100644
--- a/examples/retriever/movies.php
+++ b/examples/retriever/movies.php
@@ -11,7 +11,7 @@
 
 use Symfony\AI\Fixtures\Movies;
 use Symfony\AI\Platform\Bridge\OpenAi\PlatformFactory;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\Vectorizer;
@@ -36,7 +36,7 @@
 $platform = PlatformFactory::create(env('OPENAI_API_KEY'), http_client());
 $vectorizer = new Vectorizer($platform, 'text-embedding-3-small', logger());
 
-$indexer = new Indexer(new InMemoryLoader($documents), $vectorizer, $store, logger: logger());
+$indexer = new Indexer(new DocumentCollectionLoader($documents), $vectorizer, $store, logger: logger());
 $indexer->index();
 
 $retriever = new Retriever($vectorizer, $store, logger());
diff --git a/src/ai-bundle/tests/DependencyInjection/AiBundleTest.php b/src/ai-bundle/tests/DependencyInjection/AiBundleTest.php
index ed2157c22..0629c3494 100644
--- a/src/ai-bundle/tests/DependencyInjection/AiBundleTest.php
+++ b/src/ai-bundle/tests/DependencyInjection/AiBundleTest.php
@@ -66,7 +66,7 @@
 use Symfony\AI\Store\Distance\DistanceCalculator;
 use Symfony\AI\Store\Distance\DistanceStrategy;
 use Symfony\AI\Store\Document\Filter\TextContainsFilter;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Transformer\TextTrimTransformer;
 use Symfony\AI\Store\Document\Vectorizer;
 use Symfony\AI\Store\Document\VectorizerInterface;
@@ -5094,7 +5094,7 @@ public function testIndexerWithConfiguredVectorizer()
                 ],
                 'indexer' => [
                     'my_indexer' => [
-                        'loader' => InMemoryLoader::class,
+                        'loader' => DocumentCollectionLoader::class,
                         'vectorizer' => 'ai.vectorizer.my_vectorizer',
                         'store' => 'ai.store.memory.my_store',
                     ],
@@ -5109,7 +5109,7 @@ public function testIndexerWithConfiguredVectorizer()
         $arguments = $indexerDefinition->getArguments();
 
         $this->assertInstanceOf(Reference::class, $arguments[0]);
-        $this->assertSame(InMemoryLoader::class, (string) $arguments[0]);
+        $this->assertSame(DocumentCollectionLoader::class, (string) $arguments[0]);
 
         $this->assertInstanceOf(Reference::class, $arguments[1]);
         $this->assertSame('ai.vectorizer.my_vectorizer', (string) $arguments[1]);
@@ -5130,7 +5130,7 @@ public function testIndexerWithStringSource()
                 ],
                 'indexer' => [
                     'my_indexer' => [
-                        'loader' => InMemoryLoader::class,
+                        'loader' => DocumentCollectionLoader::class,
                         'source' => 'https://example.com/feed.xml',
                         'vectorizer' => 'my_vectorizer_service',
                         'store' => 'ai.store.memory.my_store',
@@ -5157,7 +5157,7 @@ public function testIndexerWithArraySource()
                 ],
                 'indexer' => [
                     'my_indexer' => [
-                        'loader' => InMemoryLoader::class,
+                        'loader' => DocumentCollectionLoader::class,
                         'source' => [
                             '/path/to/file1.txt',
                             '/path/to/file2.txt',
@@ -5194,7 +5194,7 @@ public function testIndexerWithNullSource()
                 ],
                 'indexer' => [
                     'my_indexer' => [
-                        'loader' => InMemoryLoader::class,
+                        'loader' => DocumentCollectionLoader::class,
                         'vectorizer' => 'my_vectorizer_service',
                         'store' => 'ai.store.memory.my_store',
                         // source not configured, should default to null
@@ -5221,7 +5221,7 @@ public function testIndexerWithConfiguredTransformers()
                 ],
                 'indexer' => [
                     'my_indexer' => [
-                        'loader' => InMemoryLoader::class,
+                        'loader' => DocumentCollectionLoader::class,
                         'transformers' => [
                             TextTrimTransformer::class,
                             'App\CustomTransformer',
@@ -5259,7 +5259,7 @@ public function testIndexerWithEmptyTransformers()
                 ],
                 'indexer' => [
                     'my_indexer' => [
-                        'loader' => InMemoryLoader::class,
+                        'loader' => DocumentCollectionLoader::class,
                         'transformers' => [],
                         'vectorizer' => 'my_vectorizer_service',
                         'store' => 'ai.store.memory.my_store',
@@ -5287,7 +5287,7 @@ public function testIndexerWithoutTransformers()
                 ],
                 'indexer' => [
                     'my_indexer' => [
-                        'loader' => InMemoryLoader::class,
+                        'loader' => DocumentCollectionLoader::class,
                         'vectorizer' => 'my_vectorizer_service',
                         'store' => 'ai.store.memory.my_store',
                         // transformers not configured, should default to empty array
@@ -5315,7 +5315,7 @@ public function testIndexerWithSourceAndTransformers()
                 ],
                 'indexer' => [
                     'my_indexer' => [
-                        'loader' => InMemoryLoader::class,
+                        'loader' => DocumentCollectionLoader::class,
                         'source' => [
                             '/path/to/file1.txt',
                             '/path/to/file2.txt',
@@ -5335,7 +5335,7 @@ public function testIndexerWithSourceAndTransformers()
         $arguments = $indexerDefinition->getArguments();
 
         $this->assertInstanceOf(Reference::class, $arguments[0]);
-        $this->assertSame(InMemoryLoader::class, (string) $arguments[0]);
+        $this->assertSame(DocumentCollectionLoader::class, (string) $arguments[0]);
 
         $this->assertInstanceOf(Reference::class, $arguments[1]);
         $this->assertSame('my_vectorizer_service', (string) $arguments[1]);
@@ -5368,7 +5368,7 @@ public function testIndexerWithConfiguredFilters()
                 ],
                 'indexer' => [
                     'my_indexer' => [
-                        'loader' => InMemoryLoader::class,
+                        'loader' => DocumentCollectionLoader::class,
                         'filters' => [
                             TextContainsFilter::class,
                             'App\CustomFilter',
@@ -5409,7 +5409,7 @@ public function testIndexerWithEmptyFilters()
                 ],
                 'indexer' => [
                     'my_indexer' => [
-                        'loader' => InMemoryLoader::class,
+                        'loader' => DocumentCollectionLoader::class,
                         'filters' => [],
                         'vectorizer' => 'my_vectorizer_service',
                         'store' => 'ai.store.memory.my_store',
@@ -5436,7 +5436,7 @@ public function testIndexerWithoutFilters()
                 ],
                 'indexer' => [
                     'my_indexer' => [
-                        'loader' => InMemoryLoader::class,
+                        'loader' => DocumentCollectionLoader::class,
                         'vectorizer' => 'my_vectorizer_service',
                         'store' => 'ai.store.memory.my_store',
                         // filters not configured, should default to empty array
@@ -5463,7 +5463,7 @@ public function testIndexerWithFiltersAndTransformers()
                 ],
                 'indexer' => [
                     'my_indexer' => [
-                        'loader' => InMemoryLoader::class,
+                        'loader' => DocumentCollectionLoader::class,
                         'filters' => [
                             TextContainsFilter::class,
                         ],
@@ -5505,7 +5505,7 @@ public function testIndexerWithSourceFiltersAndTransformers()
                 ],
                 'indexer' => [
                     'my_indexer' => [
-                        'loader' => InMemoryLoader::class,
+                        'loader' => DocumentCollectionLoader::class,
                         'source' => [
                             '/path/to/file1.txt',
                             '/path/to/file2.txt',
@@ -5529,7 +5529,7 @@ public function testIndexerWithSourceFiltersAndTransformers()
 
         // Verify correct order: loader, vectorizer, store, source, filters, transformers, logger
         $this->assertInstanceOf(Reference::class, $arguments[0]); // loader
-        $this->assertSame(InMemoryLoader::class, (string) $arguments[0]);
+        $this->assertSame(DocumentCollectionLoader::class, (string) $arguments[0]);
 
         $this->assertInstanceOf(Reference::class, $arguments[1]); // vectorizer
         $this->assertSame('my_vectorizer_service', (string) $arguments[1]);
@@ -5566,13 +5566,13 @@ public function testInjectionIndexerAliasIsRegistered()
                 ],
                 'indexer' => [
                     'my_indexer' => [
-                        'loader' => InMemoryLoader::class,
+                        'loader' => DocumentCollectionLoader::class,
                         'transformers' => [],
                         'vectorizer' => 'my_vectorizer_service',
                         'store' => 'ai.store.memory.my_store',
                     ],
                     'another' => [
-                        'loader' => InMemoryLoader::class,
+                        'loader' => DocumentCollectionLoader::class,
                         'transformers' => [],
                         'vectorizer' => 'my_vectorizer_service',
                         'store' => 'ai.store.memory.my_store',
@@ -7564,7 +7564,7 @@ private function getFullConfig(): array
                 ],
                 'indexer' => [
                     'my_text_indexer' => [
-                        'loader' => InMemoryLoader::class,
+                        'loader' => DocumentCollectionLoader::class,
                         'vectorizer' => 'ai.vectorizer.test_vectorizer',
                         'store' => 'my_azuresearch_store_service_id',
                     ],
diff --git a/src/store/src/Document/Loader.php b/src/store/src/Document/Loader.php
new file mode 100644
index 000000000..c4c1a547a
--- /dev/null
+++ b/src/store/src/Document/Loader.php
@@ -0,0 +1,46 @@
+<?php
+
+/*
+ * This file is part of the Symfony package.
+ *
+ * (c) Fabien Potencier <fabien@symfony.com>
+ *
+ * For the full copyright and license information, please view the LICENSE
+ * file that was distributed with this source code.
+ */
+
+namespace Symfony\AI\Store\Document;
+
+use Symfony\AI\Store\Exception\RuntimeException;
+
+/**
+ * @author Christopher Hertel <mail@christopher-hertel.de>
+ */
+final class Loader
+{
+    /**
+     * @param iterable<class-string<SourceInterface>, SourceLoaderInterface> $sourceLoaders
+     */
+    public function __construct(
+        private readonly iterable $sourceLoaders,
+    ) {
+    }
+
+    /**
+     * @return iterable<EmbeddableDocumentInterface>
+     */
+    public function load(iterable $sources): iterable
+    {
+        foreach ($sources as $source) {
+            if (!$source instanceof SourceInterface) {
+                throw new RuntimeException(\sprintf('Source must implement "%s", "%s" given.', SourceInterface::class, $source::class));
+            }
+
+            if (!isset($this->sourceLoaders[$source::class])) {
+                throw new RuntimeException(\sprintf('No loader registered for source of type "%s".', $source::class));
+            }
+
+            yield from $this->sourceLoaders[$source::class]->load($source);
+        }
+    }
+}
diff --git a/src/store/src/Document/Loader/DocumentCollectionLoader.php b/src/store/src/Document/Loader/DocumentCollectionLoader.php
new file mode 100644
index 000000000..4b125570b
--- /dev/null
+++ b/src/store/src/Document/Loader/DocumentCollectionLoader.php
@@ -0,0 +1,44 @@
+<?php
+
+/*
+ * This file is part of the Symfony package.
+ *
+ * (c) Fabien Potencier <fabien@symfony.com>
+ *
+ * For the full copyright and license information, please view the LICENSE
+ * file that was distributed with this source code.
+ */
+
+namespace Symfony\AI\Store\Document\Loader;
+
+use Symfony\AI\Store\Document\Source\DocumentCollection;
+use Symfony\AI\Store\Document\SourceInterface;
+use Symfony\AI\Store\Document\SourceLoaderInterface;
+
+/**
+ * Loader that returns preloaded documents from memory.
+ * Useful for testing or when documents are already available as objects.
+ *
+ * @author Oskar Stark <oskarstark@googlemail.com>
+ */
+final class DocumentCollectionLoader implements SourceLoaderInterface
+{
+    public static function createSource(array|string $source): iterable
+    {
+        if (!\is_array($source)) {
+            throw new \InvalidArgumentException('Source must be an array of EmbeddableDocumentInterface instances.');
+        }
+
+        yield new DocumentCollection($source);
+    }
+
+    public static function supportedSource(): string
+    {
+        return DocumentCollection::class;
+    }
+
+    public function load(SourceInterface|DocumentCollection $source, array $options = []): iterable
+    {
+        yield from $source->getDocuments();
+    }
+}
diff --git a/src/store/src/Document/Loader/InMemoryLoader.php b/src/store/src/Document/Loader/InMemoryLoader.php
deleted file mode 100644
index 81525c426..000000000
--- a/src/store/src/Document/Loader/InMemoryLoader.php
+++ /dev/null
@@ -1,37 +0,0 @@
-<?php
-
-/*
- * This file is part of the Symfony package.
- *
- * (c) Fabien Potencier <fabien@symfony.com>
- *
- * For the full copyright and license information, please view the LICENSE
- * file that was distributed with this source code.
- */
-
-namespace Symfony\AI\Store\Document\Loader;
-
-use Symfony\AI\Store\Document\EmbeddableDocumentInterface;
-use Symfony\AI\Store\Document\LoaderInterface;
-
-/**
- * Loader that returns preloaded documents from memory.
- * Useful for testing or when documents are already available as objects.
- *
- * @author Oskar Stark <oskarstark@googlemail.com>
- */
-final class InMemoryLoader implements LoaderInterface
-{
-    /**
-     * @param EmbeddableDocumentInterface[] $documents
-     */
-    public function __construct(
-        private readonly array $documents = [],
-    ) {
-    }
-
-    public function load(?string $source = null, array $options = []): iterable
-    {
-        yield from $this->documents;
-    }
-}
diff --git a/src/store/src/Document/Loader/RssFeedLoader.php b/src/store/src/Document/Loader/RssFeedLoader.php
index 927e47287..5bf188c02 100644
--- a/src/store/src/Document/Loader/RssFeedLoader.php
+++ b/src/store/src/Document/Loader/RssFeedLoader.php
@@ -12,8 +12,10 @@
 namespace Symfony\AI\Store\Document\Loader;
 
 use Symfony\AI\Store\Document\Loader\Rss\RssItem;
-use Symfony\AI\Store\Document\LoaderInterface;
 use Symfony\AI\Store\Document\Metadata;
+use Symfony\AI\Store\Document\Source\RssFeed;
+use Symfony\AI\Store\Document\SourceInterface;
+use Symfony\AI\Store\Document\SourceLoaderInterface;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Exception\InvalidArgumentException;
 use Symfony\AI\Store\Exception\RuntimeException;
@@ -25,7 +27,7 @@
 /**
  * @author Niklas Grießer <niklas@griesser.me>
  */
-final class RssFeedLoader implements LoaderInterface
+final class RssFeedLoader implements SourceLoaderInterface
 {
     public const OPTION_UUID_NAMESPACE = 'uuid_namespace';
 
@@ -38,10 +40,33 @@ public function __construct(
     ) {
     }
 
+    /**
+     * @return iterable<SourceInterface>
+     */
+    public static function createSource(string|array $source): iterable
+    {
+        foreach ((array) $source as $url) {
+            if (!\is_string($url)) {
+                throw new InvalidArgumentException(\sprintf('"%s" requires a string or an array of strings as source, "%s" given.', self::class, get_debug_type($url)));
+            }
+
+            if (!filter_var($url, \FILTER_VALIDATE_URL)) {
+                throw new InvalidArgumentException(\sprintf('"%s" is not a valid URL.', $url));
+            }
+
+            yield new RssFeed($url);
+        }
+    }
+
+    public static function supportedSource(): string
+    {
+        return RssFeed::class;
+    }
+
     /**
      * @param array{uuid_namespace?: string} $options
      */
-    public function load(?string $source = null, array $options = []): iterable
+    public function load(RssFeed|SourceInterface $source, array $options = []): iterable
     {
         if (!class_exists(Crawler::class)) {
             throw new RuntimeException('For using the RSS loader, the Symfony DomCrawler component is required. Try running "composer require symfony/dom-crawler".');
@@ -54,7 +79,7 @@ public function load(?string $source = null, array $options = []): iterable
         $uuidNamespace = Uuid::fromString($options[self::OPTION_UUID_NAMESPACE] ?? $this->uuidNamespace);
 
         try {
-            $xml = $this->httpClient->request('GET', $source, [
+            $xml = $this->httpClient->request('GET', $source->getUrl(), [
                 'headers' => [
                     'Accept' => 'application/rss+xml,application/xml,text/xml',
                 ],
diff --git a/src/store/src/Document/Loader/TextFileLoader.php b/src/store/src/Document/Loader/TextFileLoader.php
index 18cec8cb5..f2fba2cb8 100644
--- a/src/store/src/Document/Loader/TextFileLoader.php
+++ b/src/store/src/Document/Loader/TextFileLoader.php
@@ -11,8 +11,10 @@
 
 namespace Symfony\AI\Store\Document\Loader;
 
-use Symfony\AI\Store\Document\LoaderInterface;
 use Symfony\AI\Store\Document\Metadata;
+use Symfony\AI\Store\Document\Source\TextFile;
+use Symfony\AI\Store\Document\SourceInterface;
+use Symfony\AI\Store\Document\SourceLoaderInterface;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Exception\InvalidArgumentException;
 use Symfony\AI\Store\Exception\RuntimeException;
@@ -21,19 +23,31 @@
 /**
  * @author Christopher Hertel <mail@christopher-hertel.de>
  */
-final class TextFileLoader implements LoaderInterface
+final class TextFileLoader implements SourceLoaderInterface
 {
-    public function load(?string $source = null, array $options = []): iterable
+    public static function createSource(string|array $source): iterable
     {
-        if (null === $source) {
-            throw new InvalidArgumentException('TextFileLoader requires a file path as source, null given.');
-        }
+        foreach ((array) $source as $filePath) {
+            if (!\is_string($filePath)) {
+                throw new InvalidArgumentException(\sprintf('"%s" requires a string or an array of strings as source, "%s" given.', self::class, get_debug_type($url)));
+            }
+
+            if (!is_file($filePath)) {
+                throw new InvalidArgumentException(\sprintf('File "%s" does not exist.', $filePath));
+            }
 
-        if (!is_file($source)) {
-            throw new RuntimeException(\sprintf('File "%s" does not exist.', $source));
+            yield new TextFile($filePath);
         }
+    }
 
-        $content = file_get_contents($source);
+    public static function supportedSource(): string
+    {
+        return TextFile::class;
+    }
+
+    public function load(SourceInterface|TextFile $source, array $options = []): iterable
+    {
+        $content = file_get_contents($source->getFilePath());
 
         if (false === $content) {
             throw new RuntimeException(\sprintf('Unable to read file "%s"', $source));
diff --git a/src/store/src/Document/Source/DocumentCollection.php b/src/store/src/Document/Source/DocumentCollection.php
new file mode 100644
index 000000000..844c616f1
--- /dev/null
+++ b/src/store/src/Document/Source/DocumentCollection.php
@@ -0,0 +1,30 @@
+<?php
+
+/*
+ * This file is part of the Symfony package.
+ *
+ * (c) Fabien Potencier <fabien@symfony.com>
+ *
+ * For the full copyright and license information, please view the LICENSE
+ * file that was distributed with this source code.
+ */
+
+namespace Symfony\AI\Store\Document\Source;
+
+use Symfony\AI\Store\Document\SourceInterface;
+
+/**
+ * @author Christopher Hertel <mail@christopher-hertel.de>
+ */
+final class DocumentCollection implements SourceInterface
+{
+    public function __construct(
+        private readonly array $documents = [],
+    ) {
+    }
+
+    public function getDocuments(): array
+    {
+        return $this->documents;
+    }
+}
diff --git a/src/store/src/Document/Source/RssFeed.php b/src/store/src/Document/Source/RssFeed.php
new file mode 100644
index 000000000..bb7c3b246
--- /dev/null
+++ b/src/store/src/Document/Source/RssFeed.php
@@ -0,0 +1,30 @@
+<?php
+
+/*
+ * This file is part of the Symfony package.
+ *
+ * (c) Fabien Potencier <fabien@symfony.com>
+ *
+ * For the full copyright and license information, please view the LICENSE
+ * file that was distributed with this source code.
+ */
+
+namespace Symfony\AI\Store\Document\Source;
+
+use Symfony\AI\Store\Document\SourceInterface;
+
+/**
+ * @author Christopher Hertel <mail@christopher-hertel.de>
+ */
+final class RssFeed implements SourceInterface
+{
+    public function __construct(
+        private readonly string $url,
+    ) {
+    }
+
+    public function getUrl(): string
+    {
+        return $this->url;
+    }
+}
diff --git a/src/store/src/Document/Source/TextFile.php b/src/store/src/Document/Source/TextFile.php
new file mode 100644
index 000000000..fb809e1aa
--- /dev/null
+++ b/src/store/src/Document/Source/TextFile.php
@@ -0,0 +1,30 @@
+<?php
+
+/*
+ * This file is part of the Symfony package.
+ *
+ * (c) Fabien Potencier <fabien@symfony.com>
+ *
+ * For the full copyright and license information, please view the LICENSE
+ * file that was distributed with this source code.
+ */
+
+namespace Symfony\AI\Store\Document\Source;
+
+use Symfony\AI\Store\Document\SourceInterface;
+
+/**
+ * @author Christopher Hertel <mail@christopher-hertel.de>
+ */
+final class TextFile implements SourceInterface
+{
+    public function __construct(
+        private readonly string $filePath,
+    ) {
+    }
+
+    public function getFilePath(): string
+    {
+        return $this->filePath;
+    }
+}
diff --git a/src/store/src/Document/SourceInterface.php b/src/store/src/Document/SourceInterface.php
new file mode 100644
index 000000000..e7978e263
--- /dev/null
+++ b/src/store/src/Document/SourceInterface.php
@@ -0,0 +1,19 @@
+<?php
+
+/*
+ * This file is part of the Symfony package.
+ *
+ * (c) Fabien Potencier <fabien@symfony.com>
+ *
+ * For the full copyright and license information, please view the LICENSE
+ * file that was distributed with this source code.
+ */
+
+namespace Symfony\AI\Store\Document;
+
+/**
+ * @author Christopher Hertel <mail@christopher-hertel.de>
+ */
+interface SourceInterface
+{
+}
diff --git a/src/store/src/Document/LoaderInterface.php b/src/store/src/Document/SourceLoaderInterface.php
similarity index 53%
rename from src/store/src/Document/LoaderInterface.php
rename to src/store/src/Document/SourceLoaderInterface.php
index 97de1f2ca..7905c47f8 100644
--- a/src/store/src/Document/LoaderInterface.php
+++ b/src/store/src/Document/SourceLoaderInterface.php
@@ -14,13 +14,25 @@
 /**
  * @author Christopher Hertel <mail@christopher-hertel.de>
  */
-interface LoaderInterface
+interface SourceLoaderInterface
 {
     /**
-     * @param string|null          $source  Identifier for the loader to load the documents from, e.g. file path, folder, or URL. Can be null for InMemoryLoader.
+     * @param string|array<mixed> $source
+     *
+     * @return iterable<SourceInterface>
+     */
+    public static function createSource(string|array $source): iterable;
+
+    /**
+     * @return class-string<SourceInterface>
+     */
+    public static function supportedSource(): string;
+
+    /**
+     * @param SourceInterface      $source  Source descriptor instance to load the documents from
      * @param array<string, mixed> $options loader specific set of options to control the loading process
      *
      * @return iterable<EmbeddableDocumentInterface> iterable of embeddable documents loaded from the source
      */
-    public function load(?string $source = null, array $options = []): iterable;
+    public function load(SourceInterface $source, array $options = []): iterable;
 }
diff --git a/src/store/src/Indexer.php b/src/store/src/Indexer.php
index d797c05f8..47cb16ece 100644
--- a/src/store/src/Indexer.php
+++ b/src/store/src/Indexer.php
@@ -13,9 +13,9 @@
 
 use Psr\Log\LoggerInterface;
 use Psr\Log\NullLogger;
-use Symfony\AI\Store\Document\EmbeddableDocumentInterface;
 use Symfony\AI\Store\Document\FilterInterface;
-use Symfony\AI\Store\Document\LoaderInterface;
+use Symfony\AI\Store\Document\Loader;
+use Symfony\AI\Store\Document\SourceInterface;
 use Symfony\AI\Store\Document\TransformerInterface;
 use Symfony\AI\Store\Document\VectorizerInterface;
 
@@ -26,57 +26,37 @@
 class Indexer implements IndexerInterface
 {
     /**
-     * @var array<string|null>
-     */
-    private array $sources = [];
-
-    /**
-     * @param string|array<string>|null $source       Source identifier(s) for data loading (file paths, URLs, etc.)
-     * @param FilterInterface[]         $filters      Filters to apply after loading documents to remove unwanted content
-     * @param TransformerInterface[]    $transformers Transformers to mutate documents after filtering (chunking, cleaning, etc.)
+     * @param FilterInterface[]      $filters      Filters to apply after loading documents to remove unwanted content
+     * @param TransformerInterface[] $transformers Transformers to mutate documents after filtering (chunking, cleaning, etc.)
      */
     public function __construct(
-        private LoaderInterface $loader,
+        private Loader $loader,
         private VectorizerInterface $vectorizer,
         private StoreInterface $store,
-        string|array|null $source = null,
         private array $filters = [],
         private array $transformers = [],
         private LoggerInterface $logger = new NullLogger(),
     ) {
-        $this->sources = null === $source ? [] : (array) $source;
-    }
-
-    public function withSource(string|array $source): self
-    {
-        return new self($this->loader, $this->vectorizer, $this->store, $source, $this->filters, $this->transformers, $this->logger);
     }
 
-    public function index(array $options = []): void
+    public function index(iterable|SourceInterface $sources, array $options = []): void
     {
-        $this->logger->debug('Starting document processing', ['sources' => $this->sources, 'options' => $options]);
+        $this->logger->debug('Starting document processing', ['source' => $sources, 'options' => $options]);
 
-        $documents = [];
-        if ([] === $this->sources) {
-            $documents = $this->loadSource(null);
-        } else {
-            foreach ($this->sources as $singleSource) {
-                $documents = array_merge($documents, $this->loadSource($singleSource));
-            }
-        }
+        $documents = $this->loader->load(is_iterable($sources) ? $sources : [$sources]);
 
         if ([] === $documents) {
-            $this->logger->debug('No documents to process', ['sources' => $this->sources]);
+            $this->logger->debug('No documents to process', ['sources' => $sources]);
 
             return;
         }
 
         foreach ($this->filters as $filter) {
-            $documents = $filter->filter($documents);
+            $documents = $filter->filter($documents, $options);
         }
 
         foreach ($this->transformers as $transformer) {
-            $documents = $transformer->transform($documents);
+            $documents = $transformer->transform($documents, $options);
         }
 
         $chunkSize = $options['chunk_size'] ?? 50;
@@ -87,28 +67,15 @@ public function index(array $options = []): void
             ++$counter;
 
             if ($chunkSize === \count($chunk)) {
-                $this->store->add(...$this->vectorizer->vectorize($chunk));
+                $this->store->add(...$this->vectorizer->vectorize($chunk, $options));
                 $chunk = [];
             }
         }
 
         if ([] !== $chunk) {
-            $this->store->add(...$this->vectorizer->vectorize($chunk));
+            $this->store->add(...$this->vectorizer->vectorize($chunk, $options));
         }
 
         $this->logger->debug('Document processing completed', ['total_documents' => $counter]);
     }
-
-    /**
-     * @return EmbeddableDocumentInterface[]
-     */
-    private function loadSource(?string $source): array
-    {
-        $documents = [];
-        foreach ($this->loader->load($source) as $document) {
-            $documents[] = $document;
-        }
-
-        return $documents;
-    }
 }
diff --git a/src/store/src/IndexerInterface.php b/src/store/src/IndexerInterface.php
index fcb27494f..b7df2169e 100644
--- a/src/store/src/IndexerInterface.php
+++ b/src/store/src/IndexerInterface.php
@@ -11,6 +11,8 @@
 
 namespace Symfony\AI\Store;
 
+use Symfony\AI\Store\Document\SourceInterface;
+
 /**
  * Handles the complete document processing pipeline: load → transform → vectorize → store.
  *
@@ -21,14 +23,8 @@ interface IndexerInterface
     /**
      * Process sources through the complete document pipeline: load → transform → vectorize → store.
      *
-     * @param array{chunk_size?: int} $options Processing options
-     */
-    public function index(array $options = []): void;
-
-    /**
-     * Create a new instance with a different source.
-     *
-     * @param string|array<string> $source Source identifier (file path, URL, etc.) or array of sources
+     * @param SourceInterface|SourceInterface[] $sources Document sources to process
+     * @param array{chunk_size?: int}           $options Processing options
      */
-    public function withSource(string|array $source): self;
+    public function index(array|SourceInterface $sources, array $options = []): void;
 }
diff --git a/src/store/tests/Document/Loader/InMemoryLoaderTest.php b/src/store/tests/Document/Loader/InMemoryLoaderTest.php
index fc5ca0b50..1d42d3813 100644
--- a/src/store/tests/Document/Loader/InMemoryLoaderTest.php
+++ b/src/store/tests/Document/Loader/InMemoryLoaderTest.php
@@ -12,7 +12,7 @@
 namespace Symfony\AI\Store\Tests\Document\Loader;
 
 use PHPUnit\Framework\TestCase;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\Component\Uid\Uuid;
@@ -24,7 +24,7 @@ final class InMemoryLoaderTest extends TestCase
 {
     public function testLoadWithEmptyDocuments()
     {
-        $loader = new InMemoryLoader();
+        $loader = new DocumentCollectionLoader();
         $documents = iterator_to_array($loader->load(null));
 
         $this->assertSame([], $documents);
@@ -33,7 +33,7 @@ public function testLoadWithEmptyDocuments()
     public function testLoadWithSingleDocument()
     {
         $document = new TextDocument(Uuid::v4(), 'This is test content');
-        $loader = new InMemoryLoader([$document]);
+        $loader = new DocumentCollectionLoader([$document]);
 
         $documents = iterator_to_array($loader->load(null));
 
@@ -46,7 +46,7 @@ public function testLoadWithMultipleDocuments()
     {
         $document1 = new TextDocument(Uuid::v4(), 'First document');
         $document2 = new TextDocument(Uuid::v4(), 'Second document', new Metadata(['type' => 'test']));
-        $loader = new InMemoryLoader([$document1, $document2]);
+        $loader = new DocumentCollectionLoader([$document1, $document2]);
 
         $documents = iterator_to_array($loader->load(null));
 
@@ -61,7 +61,7 @@ public function testLoadWithMultipleDocuments()
     public function testLoadIgnoresSourceParameter()
     {
         $document = new TextDocument(Uuid::v4(), 'Test content');
-        $loader = new InMemoryLoader([$document]);
+        $loader = new DocumentCollectionLoader([$document]);
 
         // Source parameter should be ignored - same result regardless of value
         $documentsWithNull = iterator_to_array($loader->load(null));
diff --git a/src/store/tests/IndexerTest.php b/src/store/tests/IndexerTest.php
index 6ee808383..16634de26 100644
--- a/src/store/tests/IndexerTest.php
+++ b/src/store/tests/IndexerTest.php
@@ -16,7 +16,7 @@
 use Symfony\AI\Platform\Vector\Vector;
 use Symfony\AI\Store\Document\Filter\TextContainsFilter;
 use Symfony\AI\Store\Document\FilterInterface;
-use Symfony\AI\Store\Document\Loader\InMemoryLoader;
+use Symfony\AI\Store\Document\Loader\DocumentCollectionLoader;
 use Symfony\AI\Store\Document\Metadata;
 use Symfony\AI\Store\Document\TextDocument;
 use Symfony\AI\Store\Document\TransformerInterface;
@@ -33,7 +33,7 @@ public function testIndexSingleDocument()
     {
         $document = new TextDocument($id = Uuid::v4(), 'Test content');
         $vector = new Vector([0.1, 0.2, 0.3]);
-        $loader = new InMemoryLoader([$document]);
+        $loader = new DocumentCollectionLoader([$document]);
         $vectorizer = new Vectorizer(PlatformTestHandler::createPlatform(new VectorResult($vector)), 'text-embedding-3-small');
 
         $indexer = new Indexer($loader, $vectorizer, $store = new TestStore());
@@ -47,7 +47,7 @@ public function testIndexSingleDocument()
 
     public function testIndexEmptyDocumentList()
     {
-        $loader = new InMemoryLoader([]);
+        $loader = new DocumentCollectionLoader([]);
         $vectorizer = new Vectorizer(PlatformTestHandler::createPlatform(), 'text-embedding-3-small');
 
         $indexer = new Indexer($loader, $vectorizer, $store = new TestStore());
@@ -61,7 +61,7 @@ public function testIndexDocumentWithMetadata()
         $metadata = new Metadata(['key' => 'value']);
         $document = new TextDocument($id = Uuid::v4(), 'Test content', $metadata);
         $vector = new Vector([0.1, 0.2, 0.3]);
-        $loader = new InMemoryLoader([$document]);
+        $loader = new DocumentCollectionLoader([$document]);
         $vectorizer = new Vectorizer(PlatformTestHandler::createPlatform(new VectorResult($vector)), 'text-embedding-3-small');
 
         $indexer = new Indexer($loader, $vectorizer, $store = new TestStore());
@@ -81,7 +81,7 @@ public function testWithSource()
         $vector = new Vector([0.1, 0.2, 0.3]);
 
         // InMemoryLoader doesn't use source parameter, so we'll test withSource method's immutability
-        $loader = new InMemoryLoader([$document1]);
+        $loader = new DocumentCollectionLoader([$document1]);
         $vectorizer = new Vectorizer(PlatformTestHandler::createPlatform(new VectorResult($vector)), 'text-embedding-3-small');
 
         $indexer = new Indexer($loader, $vectorizer, $store = new TestStore(), 'source1');
@@ -112,7 +112,7 @@ public function testWithSourceArray()
         $vector6 = new Vector([1.6, 1.7, 1.8]);
 
         // InMemoryLoader returns all documents regardless of source
-        $loader = new InMemoryLoader([$document1, $document2]);
+        $loader = new DocumentCollectionLoader([$document1, $document2]);
         // Need 6 vectors total: 2 for first indexer, then 2 for each source in the second indexer (2 sources * 2 docs = 4)
         $vectorizer = new Vectorizer(PlatformTestHandler::createPlatform(new VectorResult($vector1, $vector2, $vector3, $vector4, $vector5, $vector6)), 'test-embedding-model');
 
@@ -146,7 +146,7 @@ public function testIndexWithTextContainsFilter()
         // Filter will remove the "Week of Symfony" document, leaving 2 documents
         $vector1 = new Vector([0.1, 0.2, 0.3]);
         $vector2 = new Vector([0.4, 0.5, 0.6]);
-        $loader = new InMemoryLoader($documents);
+        $loader = new DocumentCollectionLoader($documents);
         $vectorizer = new Vectorizer(PlatformTestHandler::createPlatform(new VectorResult($vector1, $vector2)), 'test-embedding-model');
         $filter = new TextContainsFilter('Week of Symfony');
 
@@ -168,7 +168,7 @@ public function testIndexWithMultipleFilters()
         // Filters will remove "Week of Symfony" and "SPAM" documents, leaving 2 documents
         $vector1 = new Vector([0.1, 0.2, 0.3]);
         $vector2 = new Vector([0.4, 0.5, 0.6]);
-        $loader = new InMemoryLoader($documents);
+        $loader = new DocumentCollectionLoader($documents);
         $vectorizer = new Vectorizer(PlatformTestHandler::createPlatform(new VectorResult($vector1, $vector2)), 'test-embedding-model');
         $filters = [
             new TextContainsFilter('Week of Symfony'),
@@ -192,7 +192,7 @@ public function testIndexWithFiltersAndTransformers()
         // Filter will remove "Week of Symfony" document, leaving 2 documents
         $vector1 = new Vector([0.1, 0.2, 0.3]);
         $vector2 = new Vector([0.4, 0.5, 0.6]);
-        $loader = new InMemoryLoader($documents);
+        $loader = new DocumentCollectionLoader($documents);
         $vectorizer = new Vectorizer(PlatformTestHandler::createPlatform(new VectorResult($vector1, $vector2)), 'test-embedding-model');
         $filter = new TextContainsFilter('Week of Symfony');
         $transformer = new class implements TransformerInterface {
@@ -228,7 +228,7 @@ public function testIndexWithFiltersAndTransformersAppliesBoth()
         // Filter will remove the "Remove" document, leaving 2 documents
         $vector1 = new Vector([0.1, 0.2, 0.3]);
         $vector2 = new Vector([0.4, 0.5, 0.6]);
-        $loader = new InMemoryLoader($documents);
+        $loader = new DocumentCollectionLoader($documents);
         $vectorizer = new Vectorizer(PlatformTestHandler::createPlatform(new VectorResult($vector1, $vector2)), 'test-embedding-model');
 
         $filter = new class implements FilterInterface {
@@ -269,7 +269,7 @@ public function testIndexWithNoFilters()
     {
         $document = new TextDocument(Uuid::v4(), 'Test content');
         $vector = new Vector([0.1, 0.2, 0.3]);
-        $loader = new InMemoryLoader([$document]);
+        $loader = new DocumentCollectionLoader([$document]);
         $vectorizer = new Vectorizer(PlatformTestHandler::createPlatform(new VectorResult($vector)), 'text-embedding-3-small');
 
         $indexer = new Indexer($loader, $vectorizer, $store = new TestStore(), null, []);
@@ -282,7 +282,7 @@ public function testWithSourcePreservesFilters()
     {
         $document = new TextDocument(Uuid::v4(), 'Test content');
         $vector = new Vector([0.1, 0.2, 0.3]);
-        $loader = new InMemoryLoader([$document]);
+        $loader = new DocumentCollectionLoader([$document]);
         $vectorizer = new Vectorizer(PlatformTestHandler::createPlatform(new VectorResult($vector)), 'text-embedding-3-small');
         $filter = new TextContainsFilter('nonexistent');