Ask questions using RAG-enhanced context from xAI Collections with LAZY-RAG cache for faster repeated queries.
MIT
112,007 tools. Last updated 2026-04-19 06:24
- 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.
- Clear the LAZY-RAG cache to remove outdated or incorrect data and start fresh for accurate information retrieval.MIT
- Add files to a RAG system for document retrieval, supporting PDF, DOCX, TXT, MD, CSV, and JSON formats to enable semantic search and information access.MIT
- Create a knowledge base for RAG to store and organize information for AI assistants to retrieve and reference during conversations.MIT
- Search and filter RAG-capable MCP servers from the RAGMap registry to find the right retrieval tool based on categories, transport type, citations, and other constraints.MIT
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