rag-query

Semantic knowledge base allowing ingest, search, and retrieval of saved texts, URLs, and files using embeddings and SQLite.

Search and manage knowledge bases using LightRAG API. Supports multiple servers, context-aware writing, and direct information retrieval. Use when the user wants to query a LightRAG-powered knowledge base or use it as context for tasks.

Search markdown knowledge bases efficiently using qmd. Use this when searching Obsidian vaults or markdown collections to find relevant content with minimal token usage.

Search Dify Knowledge Base (Dataset) to get accurate context for RAG-enhanced answers.

Local-first RAG cache: distill docs into structured Markdown, then index/query with Chroma (vector) + ripgrep (keyword).

Advanced Qdrant vector database operations for AI agents. Semantic search, contextual document ingestion with chunking, collection management, snapshots, and...