a drop-in solution for searching documentation
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Updated
Feb 23, 2022 - TypeScript
a drop-in solution for searching documentation
Local-first, line-accurate search for blazing-fast lookups of llms.txt documentation. Human-friendly, Agent-ready.
🔍 FastMCP-powered documentation search engine that provides unified access to multiple framework docs (Next.js, Tailwind, Framer Motion, etc.) with intelligent name resolution and async processing.
A fast semantic search and retrieval engine
Intent-based MCP server for project documentation search. Maps natural language queries to the right sources automatically—no configuration needed. The standard for AI agent documentation search.
Documentation search in devdocs
A fuzzy-finder for methods, fields etc., in documentation reference pages for programming languages and software development frameworks.
Multi-tenant Model Context Protocol server for documentation search (FastMCP + BM25 + article-extractor)
CodeCompass transforms any GitHub repo into an interactive, searchable knowledge base. Index it locally with embeddings and chat with an LLM that answers using real repo sources.
RAGU - Retrieval-Augmented Generation Universal. A privacy-focused RAG system with modern web UI for semantic search across documentation. Supports document upload, Confluence import, and local AI processing.
Add a description, image, and links to the documentation-search topic page so that developers can more easily learn about it.
To associate your repository with the documentation-search topic, visit your repo's landing page and select "manage topics."