Create a named document collection to group related evidence bundles for cross-document semantic search and RAG-based Q&A.
MIT
650,553 tools. Updated 2026-10-14 10:52
"Information or uses related to a rag" matching MCP tools:
- Synchronize project folders from Google Drive to RAG, using Drive as the master to add or remove projects.MIT
- Ask natural-language questions about your browsing history and get AI-powered answers using RAG. Filter results by event type, domain, or time window.MIT
- Retrieve detailed information about a specific RAG project within the Calibre ebook library, including its configuration, contents, and organization for semantic search and contextual conversations.-
- Keep RAG search current by re-indexing catalog schema after changes. Uses schema hashing to skip unchanged schemas.Apache 2.0
- Convert a website or up to 1000 URLs into RAG-ready chunked JSONL for vector database import.MIT
Matching MCP Servers
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.11 npm1MIT
- FlicenseNot gradedqualityBmaintenanceEnables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.4-
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- Convert text into a numeric vector for semantic search, RAG, and similarity. Supports multiple languages.MIT
- Retrieve detailed information about any TigerGraph tool, including capabilities, usage examples, prerequisites, and related tools. Use it to understand how to apply a tool effectively.Apache 2.0
- Check the current status of the RAG documentation index, including total chunks, configured sources, and last update times.Apache 2.0
- Fetch a single YouTube video's metadata by 11-character videoId, including title, views, likes, tags, captions, music matches, and related videos for RAG or analytics.MIT
- Get precise answers to any question about Lamatic.ai documentation by searching all indexed docs with RAG.MIT
- Check HTML snippets for WCAG accessibility issues without a live URL or browser. Get static heuristic results and optional RAG-powered fixes for components.MIT
- Find document types semantically similar to a query via multilingual semantic search. Matches by meaning, not exact text, using RAG-based embeddings.MIT
- Scrape and index up to 20 URLs to add their content to the RAG corpus, providing source material for content marketing ideas.MIT
- Find threat signatures related to a specific signature using pattern similarity. Requires Pro tier or Novyx Cloud.MIT
- Search the RAG corpus with semantic and keyword hybrid search to find relevant content marketing ideas.MIT
- Confirm that the dryad-rag-pipeline service is reachable to ensure agents can reliably index and search documents.MIT
- Retrieve current connection status, latency, and version details for Memory Server, RAG Server, and Google services to verify service availability.MIT
- Retrieve related keyword ideas from Amazon's 'Related Searches' section. Each keyword returns search volume data.Apache 2.0
- Retrieve software products grouped by common tags like vendors or technology types to discover related technologies and their lifecycle information.MIT
- Add knowledge entries to a RAG system to store insights, tips, and best practices. Categorize and tag them for efficient retrieval.MIT