AlexisBalayre/RagDocs
An AI-powered search engine to interact with documentation using RAG and local LLMs. Privately deployable with vector search and a modern frontend.
This tool helps developers instantly get accurate answers from their internal technical documentation using an AI-powered search engine. You feed it your existing documentation files, and it allows you to ask questions in plain language, receiving precise, context-aware responses. It's designed for developers, technical writers, or engineering teams who need to quickly find information within their own project or product documentation.
No commits in the last 6 months.
Use this if you need a private, secure, and cost-free way to interact with your technical documentation using a conversational AI.
Not ideal if you're looking for a general-purpose public chatbot or if your documentation isn't primarily technical.
Stars
12
Forks
2
Language
MDX
License
Apache-2.0
Category
Last pushed
Sep 02, 2025
Commits (30d)
0
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