Haiku RAG is an agentic retrieval-augmented generation (RAG) server that integrates various AI tools for document management, search, question answering, and research workflows.
From the registry: Opinionated agentic RAG powered by LanceDB, Pydantic AI, and Docling
Please install the `haiku-rag` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Python 3.12+** — Haiku RAG requires Python 3.12 or newer (https://python.org)
- **Install haiku.rag** — Install via pip Run: `pip install haiku.rag` (https://pypi.org/project/haiku.rag/)
- **Embedding provider** — Configure an embedding provider (Ollama, OpenAI, VoyageAI, etc.) (https://ggozad.github.io/haiku.rag/installation/)
Canonical MCP server config (stdio transport):
- command: `haiku-rag`
- args: ["serve","--mcp","--stdio"]
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.AI Agents Framework with Self Reflection and MCP support