RAG & Document Q&A
Ask your documents. Get answers with sources.
Retrieval-augmented generation (RAG) systems that search your contracts, manuals and internal knowledge and cite exactly where each answer came from.
What you get
Built around your workflow, not a template.
Cited answers
Every answer points to the document and passage it came from, so your team can verify in seconds.
Your documents, your access rules
Built around your files and who is allowed to see what.
Handles real-world files
PDFs, scans, spreadsheets and long manuals, not just clean text.
Honest when unsure
If the answer is not in your documents, the system says so rather than inventing one.
Where it fits
Common uses.
Questions
RAG & Document Q&A: FAQ
What is RAG?
Retrieval-augmented generation first finds the relevant passages in your documents, then uses an AI model to write an answer grounded in them, with citations.
Can it reduce wrong answers?
Grounding answers in your documents and showing sources greatly reduces made-up answers, and it lets people check the source. No AI system is perfect, so we add review steps where the stakes are high.
What documents can it read?
Common business files such as PDFs, Word documents, spreadsheets and web pages. Scanned documents can be supported with OCR.
Also from Vajra Labs
Other systems we build.
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your vajra.
Tell us what's slow, manual, or brittle, and we'll tell you what an AI system could do about it.
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+91 99136 20474