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Agentic RAG MCP

A multi-agent Retrieval-Augmented Generation system exposed as an MCP server. Ask a question and a LangGraph pipeline plans the retrieval, pulls evidence from a pgvector knowledge base, optionally augments it with live web research, drafts a cited answer, and then self-critiques it for grounding — revising until the answer is supported by the sources.

Unscored visibility — 0/0 applicable dimensions scored
○ Schema Quality ○ Protocol — Reliability ○ Docs & Maintenance ○ Security Hygiene — Schema Interpretability
A remote probe is needed for Protocol and Reliability scores.
Schema Quality
25% weight
Protocol Compliance
20% weight
Reliability
20% weight
Docs & Maintenance
15% weight
Security Hygiene
20% weight
30-Day Trend

30-Day Uptime

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