"Information about RAG" matching MCP connectors:
Matching Connector Tools:
AI-first file sharing and collaboration. 251 tools give agents a full workspace: file storage, branded shares, comments, workflows, and built-in RAG. 50GB free, no credit card.
Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.
Persistent semantic memory for AI agents: store and recall text by meaning (RAG). x402
LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.
Apple Developer Documentation with Semantic Search, RAG, and AI reranking for MCP clients
Manage your Mistral platform — models, files, batch jobs, agents and RAG document libraries.
Extract PDFs to Markdown, RAG chunks and cited tables; publish tracked Doc Links with read stats.
Parse PDF/Word/PPT/HTML to Markdown; tables as JSON, image extraction, RAG chunking, page ranges.
Generate 18 AI readiness files (llms.txt, ai.txt, RAG indexes, schema) for any website.
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
Multilingual YouTube → Knowledge Pack engine. Paste a video URL and get a structured pack — summary, key ideas, glossary, quiz, transcript with timestamps — in Spanish, Portuguese, German, or English. Anonymous endpoint plus OAuth-gated tools for library search, RAG Q&A on a single pack, and Anki export.
Kannada/English Carnatic flute KSGMS syllabus — search lessons, log practice, ask a RAG guru.
Knowledge Base von designare.at – Michael Kanda, Web & KI aus Wien. Semantische Suche über RAG.
Korean crypto × AI media MCP — channel stance, daily briefs, RAG, canonical store, AI personas.
A personal RAG database you build from chat, so AI creates work that sounds like you.
CareerProof MCP gives AI agents direct access to a professional-grade career and workforce intelligence platform. Two namespaces: atlas_* for HR/TA teams (candidate evaluation, batch shortlisting, competency scoring, interview generation, JD analysis, custom eval frameworks, research reports) and ceevee_* for professionals (CV optimization, career positioning, salary intelligence, market reports). Backed by RAG knowledge from 50+ premium research sources (McKinsey, BCG, HBR, Gartner, WEF)
Butterbase MCP server — manage your backend: schemas, auth, functions, storage, RAG, deploys.
Personal YouTube AI knowledge base powered by RAG. Query your subscribed YouTube channels with AI — get answers with video citations.
NVIDIA NemoClaw knowledge graph — 55 nodes, F1 0.576 (+269% vs RAG), 11x fewer tokens. MCP-native.