MCPquality 0.75

Haiku RAG

Agentic RAG system powered by LanceDB, Pydantic AI, and Docling

Price
free
Protocol
mcp
Verified
no

What it does

Agentic RAG system powered by LanceDB, Pydantic AI, and Docling

Retrieval-augmented generation system providing hybrid search combining vector and full-text search with Reciprocal Rank Fusion. Features multi-agent research workflows for planning, searching, evaluating, and synthesizing information with citations. Supports 40+ file formats including PDF, DOCX, HTML, and Markdown. Works locally with embedded LanceDB or supports cloud storage on S3, GCS, and Azure.

Capabilities

mcptransport-stdioopen-source

Server

Transportstdio
Protocolmcp

Quality

0.75/ 1.00

deterministic score 0.75 from registry signals: · indexed on pulsemcp · has source repo · 524 github stars · registry-generated description present

Provenance

Indexed frompulsemcp
Enriched2026-05-15 05:22:22Z · deterministic:mcp:v1 · v1
First seen2026-04-25
Last seen2026-05-15

Agent access