diff --git a/src/lattice.ts b/src/lattice.ts
index 857a345..d207530 100644
--- a/src/lattice.ts
+++ b/src/lattice.ts
@@ -99,7 +99,7 @@ export function parseSections(
 ): Section[] {
   const tree = parse(content);
   const file = projectRoot
-    ? relative(projectRoot, filePath).replace(/\.md$/, '')
+    ? relative(projectRoot, filePath).replace(/\.md$/, '').replace(/\\/g, '/')
     : basename(filePath, '.md');
   const sectionFilePath = projectRoot
     ? relative(projectRoot, filePath)
@@ -619,7 +619,7 @@ export function extractRefs(
 ): Ref[] {
   const tree = parse(content);
   const file = projectRoot
-    ? relative(projectRoot, filePath).replace(/\.md$/, '')
+    ? relative(projectRoot, filePath).replace(/\.md$/, '').replace(/\\/g, '/')
     : basename(filePath, '.md');
   const refs: Ref[] = [];
 
diff --git a/src/search/provider.ts b/src/search/provider.ts
index 16ee2b6..c838d72 100644
--- a/src/search/provider.ts
+++ b/src/search/provider.ts
@@ -6,6 +6,18 @@ export type EmbeddingProvider = {
   headers: (key: string) => Record<string, string>;
 };
 
+// Known dimensions for common Ollama embedding models.
+// Override with LAT_OLLAMA_DIMENSIONS for unlisted models.
+const OLLAMA_KNOWN_DIMENSIONS: Record<string, number> = {
+  'nomic-embed-text': 768,
+  'mxbai-embed-large': 1024,
+  'all-minilm': 384,
+  'snowflake-arctic-embed': 1024,
+  'bge-large': 1024,
+  'bge-base': 768,
+  'bge-small': 384,
+};
+
 const openai: EmbeddingProvider = {
   name: 'openai',
   apiBase: 'https://api.openai.com/v1',
@@ -39,6 +51,25 @@ export function detectProvider(key: string): EmbeddingProvider {
       headers: () => ({ 'Content-Type': 'application/json' }),
     };
   }
+  if (key.startsWith('ollama:')) {
+    const model = key.slice('ollama:'.length).trim();
+    if (!model)
+      throw new Error(
+        'ollama: key must include a model name, e.g. LAT_LLM_KEY=ollama:nomic-embed-text',
+      );
+    const host = process.env.OLLAMA_HOST ?? 'http://localhost:11434';
+    const dimOverride = process.env.LAT_OLLAMA_DIMENSIONS;
+    const dimensions = dimOverride
+      ? parseInt(dimOverride, 10)
+      : (OLLAMA_KNOWN_DIMENSIONS[model] ?? 768);
+    return {
+      name: 'ollama',
+      apiBase: `${host}/v1`,
+      model,
+      dimensions,
+      headers: () => ({ 'Content-Type': 'application/json' }),
+    };
+  }
   if (key.startsWith('sk-ant-')) {
     throw new Error(
       "Anthropic doesn't offer an embedding model. Set LAT_LLM_KEY to an OpenAI (sk-...) or Vercel AI Gateway (vck_...) key.",
@@ -47,6 +78,6 @@ export function detectProvider(key: string): EmbeddingProvider {
   if (key.startsWith('vck_')) return vercel;
   if (key.startsWith('sk-')) return openai;
   throw new Error(
-    `Unrecognized LAT_LLM_KEY prefix. Supported: OpenAI (sk-...), Vercel AI Gateway (vck_...).`,
+    `Unrecognized LAT_LLM_KEY prefix. Supported: OpenAI (sk-...), Vercel AI Gateway (vck_...), Ollama (ollama:<model>).`,
   );
 }