diff --git a/vectorless/README.md b/vectorless/README.md
index d03b76a..a0aba35 100644
--- a/vectorless/README.md
+++ b/vectorless/README.md
@@ -1,11 +1,11 @@
-# Vectorless Python SDK
+# Vectorless
 
-Python bindings for [vectorless](https://github.com/vectorlessflow/vectorless) — a Document Understanding Engine for AI.
+Python bindings for [Vectorless](https://github.com/vectorlessflow/vectorless) — knowing by reasoning, not vectors.
 
 ## Installation
 
 ```bash
-pip install vectorless
+pip install -U vectorless
 ```
 
 ## Quick Start
@@ -15,33 +15,25 @@ import asyncio
 from vectorless import Engine
 
 async def main():
-    # Create engine — api_key and model are required
-    engine = Engine(
-        api_key="sk-...",
-        model="gpt-4o",
-    )
+    engine = Engine(api_key="sk-...", model="gpt-4o")
 
-    # Understand a document
-    doc = await engine.ingest("./report.pdf")
-    print(f"Understood: {doc.name} — {doc.summary}")
+    # Compile a document
+    result = await engine.compile(path="./report.pdf")
+    doc_id = result.doc_id
 
     # Ask a question
-    answer = await engine.ask(
-        "What is the total revenue?",
-        doc_ids=[doc.doc_id],
-    )
-    print(f"Answer: {answer.content}")
-    print(f"Confidence: {answer.confidence:.2f}")
-    print(f"Evidence: {len(answer.evidence)} pieces")
-    print(f"Trace: {len(answer.trace.steps)} steps")
-
-    # List all understood documents
+    response = await engine.ask("What is the total revenue?", doc_ids=[doc_id])
+    print(response.answer)
+    print(f"Confidence: {response.confidence:.2f}")
+    print(f"Evidence: {len(response.evidence)} pieces")
+
+    # List all documents
     docs = await engine.list_documents()
     for d in docs:
         print(f"  - {d.name} ({d.doc_id})")
 
-    # Forget a document
-    await engine.forget(doc.doc_id)
+    # Remove a document
+    await engine.remove_document(doc_id)
 
 asyncio.run(main())
 ```
@@ -59,40 +51,39 @@ class Engine:
         api_key: str | None = None,
         model: str | None = None,
         endpoint: str | None = None,
-        config: Config | None = None,
+        config: EngineConfig | None = None,
     ): ...
 
-    async def ingest(self, path: str) -> DocumentInfo: ...
-    async def ask(self, question: str, doc_ids: list[str] | None = None) -> Answer: ...
-    async def forget(self, doc_id: str) -> None: ...
-    async def list_documents(self) -> list[DocumentInfo]: ...
-    async def exists(self, doc_id: str) -> bool: ...
-    async def clear(self) -> int: ...
+    async def compile(self, path: str | None = None, *, format: str | None = None, mode: str | None = None, force: bool = False) -> IndexResultWrapper: ...
+    async def compile_batch(self, paths: list[str], *, mode: str | None = None, jobs: int = 4, force: bool = False) -> IndexResultWrapper: ...
+    async def ask(self, question: str, doc_ids: list[str] | None = None, timeout_secs: int | None = None) -> Output: ...
+    async def query_stream(self, question: str, doc_ids: list[str] | None = None) -> StreamingQueryResult: ...
+    async def list_documents(self) -> list[DocCard]: ...
+    async def remove_document(self, doc_id: str) -> None: ...
+    async def document_exists(self, doc_id: str) -> bool: ...
+    async def clear_all(self) -> int: ...
     async def get_graph(self) -> DocumentGraph | None: ...
     def metrics_report(self) -> MetricsReport: ...
 ```
 
-### DocumentInfo
+### IndexResultWrapper
 
 ```python
-class DocumentInfo:
-    doc_id: str
-    name: str
-    format: str
-    summary: str
-    concepts: list[Concept]
-    section_count: int
-    page_count: int | None
+class IndexResultWrapper:
+    doc_id: str | None
+    items: list[DocCard]
+    failed: list[FailedItem]
 ```
 
-### Answer
+### Output
 
 ```python
-class Answer:
-    content: str
+class Output:
+    answer: str
     evidence: list[Evidence]
     confidence: float
-    trace: ReasoningTrace
+    trace_steps: list[TraceStep]
+    metrics: QueryMetrics
 ```
 
 ### Evidence
@@ -101,15 +92,19 @@ class Answer:
 class Evidence:
     content: str
     source_path: str
+    node_title: str
     doc_name: str
-    relevance: float
 ```
 
-### ReasoningTrace
+### DocCard
 
 ```python
-class ReasoningTrace:
-    steps: list[TraceStep]
+class DocCard:
+    doc_id: str
+    name: str
+    summary: str
+    section_count: int
+    concepts: list[Concept]
 ```
 
 ### TraceStep
@@ -121,15 +116,6 @@ class TraceStep:
     round: int
 ```
 
-### Concept
-
-```python
-class Concept:
-    name: str
-    description: str
-    confidence: float
-```
-
 ### VectorlessError
 
 ```python
@@ -140,24 +126,10 @@ class VectorlessError(Exception):
 
 ## Development
 
-### Building from source
-
 ```bash
-# Install maturin
 pip install maturin
-
-# Build and install (from project root)
-maturin develop
-
-# Run tests
-pytest
-```
-
-### Publishing to PyPI
-
-```bash
-maturin build --release
-maturin publish
+maturin develop      # Build and install
+pytest               # Run tests
 ```
 
 ## License