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Run local document RAG with citations over MCP using Haiku.RAG

Index local or self-hosted documents, search them with hybrid and multimodal retrieval, and answer agent questions through an MCP server with citations.

skills/run-local-document-rag-with-citations-over-mcp-using-haiku-rag/SKILL.md

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# Run local document RAG with citations over MCP using Haiku.RAG

Index local or self-hosted documents, search them with hybrid and multimodal retrieval, and answer agent questions through an MCP server with citations.

## Prerequisites

Python 3.12+, haiku.rag or haiku.rag-slim, an embedding provider such as Ollama/OpenAI/VoyageAI/Cohere/LM Studio/vLLM, and an MCP-compatible client

## Installation

Install or set up from the source-backed instructions:

Install with `pip install haiku.rag` or `uv pip install haiku.rag`, index documents with commands such as `haiku-rag add-src paper.pdf`, then expose the knowledge base to an MCP client with `haiku-rag mcp --stdio`. Use `haiku-rag --read-only mcp --stdio` when the agent should only search and ask questions.
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