Update docs

docs/installation.md

@@ -12,8 +12,8 @@ uv pip install haiku.rag
 
 The full package includes **all features and extras**:
 - **Document processing** (Docling) - PDF, DOCX, PPTX, images, and 40+ file formats
-- **All embedding providers** - Ollama, OpenAI, VoyageAI, Anthropic, vLLM
-- **All rerankers** - MixedBread AI, Cohere, Zero Entropy, vLLM
+- **All embedding providers** - VoyageAI
+- **All rerankers** - MixedBread AI, Cohere, Zero Entropy
 - **A2A agent** - Agent-to-Agent protocol support
 
 This is the easiest way to get started with all features enabled.
@@ -44,56 +44,13 @@ The slim package has minimal dependencies and lets you install only what you nee
 - **Ollama** (default embedding provider)
 - **OpenAI** (GPT models for QA and embeddings)
 - **Anthropic** (Claude models for QA)
-- **vLLM** (high-performance local inference)
 
-### vLLM Setup
-
-vLLM requires no additional installation - it works with the base haiku.rag package. However, you need to run vLLM servers separately:
-
-```bash
-# Install vLLM
-pip install vllm
-
-# Serve an embedding model
-vllm serve mixedbread-ai/mxbai-embed-large-v1 --port 8000
-
-# Serve a model for QA (requires tool calling support)
-vllm serve Qwen/Qwen3-4B --port 8002 --enable-auto-tool-choice --tool-call-parser hermes
-
-# Serve a model for reranking
-vllm serve mixedbread-ai/mxbai-rerank-base-v2 --hf_overrides '{"architectures": ["Qwen2ForSequenceClassification"],"classifier_from_token": ["0", "1"], "method": "from_2_way_softmax"}' --port 8001
-```
-
-Then configure haiku.rag to use the vLLM servers. Create a `haiku.rag.yaml` file:
-
-```yaml
-embeddings:
-  provider: vllm
-  model: mixedbread-ai/mxbai-embed-large-v1
-  vector_dim: 512
-
-qa:
-  provider: vllm
-  model: Qwen/Qwen3-4B
-
-reranking:
-  provider: vllm
-  model: mixedbread-ai/mxbai-rerank-base-v2
-
-providers:
-  vllm:
-    embeddings_base_url: http://localhost:8000
-    qa_base_url: http://localhost:8002
-    rerank_base_url: http://localhost:8001
-```
-
-See [Configuration](configuration.md) for all available options.
+See [Configuration](configuration.md) for configuring providers including advanced options like vLLM.
 
 ## Requirements
 
 - Python 3.12+
-- Ollama (for default embeddings)
-- vLLM server (for vLLM provider)
+- Ollama (for default embeddings and QA)
 
 ## Pre-download Models (Optional)
 

mkdocs.yml

@@ -61,9 +61,9 @@ nav:
       - Installation: installation.md
       - Configuration: configuration.md
       - CLI: cli.md
-      - Server: server.md
-      - Agents: agents.md
       - Python: python.md
+      - Agents: agents.md
+      - Server: server.md
       - MCP: mcp.md
       - A2A: a2a.md
       - Benchmarks: benchmarks.md