YASSERRMD/barq-web-rag
A fully browser-native RAG application for document Q&A, powered by Rust and WebAssembly with local vector search, embeddings, and in-browser LLM inference.
This tool helps you quickly get answers from your own documents without sending any data over the internet. You upload your PDF, DOCX, Markdown, or TXT files, and it allows you to ask questions and receive relevant answers directly in your web browser. It's ideal for anyone who needs to confidentially query large personal or proprietary document collections.
Use this if you need to extract information or get summaries from your private documents, like research papers, legal briefs, or company reports, while ensuring all your data stays on your own computer.
Not ideal if you need to collaborate with others on shared document analysis or if your workflow requires integration with external cloud services.
Stars
22
Forks
6
Language
TypeScript
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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