Knowledge that
answers back.
Upload documents. Ask questions. Get answers with citations. b-rag transforms your files into an intelligent knowledge base with semantic search across PDFs, images, and audio.
How it works
Ingest
Upload documents via drag-and-drop or URL. Files are chunked, embedded, and indexed for semantic retrieval.
Query
Ask questions in natural language. Vector similarity search finds the most relevant document chunks.
Retrieve
Get synthesized answers with source citations. Every response links back to original documents.
Built for accuracy
b-rag uses dense vector embeddings to capture semantic meaning, not just keyword matching. Results are ranked by actual relevance to your query intent.
Self-hosted & private
Run entirely on your machine. Your documents never leave your infrastructure. No cloud dependencies, no API keys required.
Start building knowledge
Create a project, upload your documents, and start asking questions.