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Document intelligence

We turn policy manuals, circulars, case files and technical archives into a system people can question in plain language. Every answer shows the passages it came from, so it can be checked in seconds rather than trusted blindly.

System diagram
ENहिमHybrid searchBM25 + vectorsReranktop 8source p.4Cited answer

800+

documents in one offline, three-language index

The problem

The answer is somewhere in your archive. Finding it means asking whoever happens to remember, or reading for an hour — and hoping the version you found is the current one.

How it works

Four stages, end to end

QdrantBM25BGE-M3RerankersFastAPI
  1. 01

    Ingest

    PDFs, scans, Word files and spreadsheets are parsed, cleaned and split into passages that keep their headings and page numbers.

  2. 02

    Index twice

    Every passage is indexed by keywords, for exact terms like section numbers, and by meaning, with multilingual embeddings.

  3. 03

    Retrieve and rerank

    Both searches run together. A reranker then picks the handful of passages that actually answer the question.

  4. 04

    Answer with citations

    The model writes only from those passages and links each claim to its document and page.

Where it is used

  • 01Policy, circular and resolution lookup for government departments
  • 02Procedure and case-material search for police and legal teams
  • 03Manuals and SOPs for engineering and operations staff
  • 04Patient-facing assistants grounded in a clinician's own material

What you get

  • Ingestion pipeline for your document formats
  • Search and chat interface with source citations
  • Admin view to add, remove and re-index documents
  • Evaluation set built from your team's real questions

Also included

  • Keyword and semantic search run together, then a reranker picks the passages that matter
  • Answers cite the exact document and page they were drawn from
  • English, Hindi and Marathi handled in the same index, even within one file
  • Runs on a cloud model API or fully offline on your own GPU

Bring us thetwo-day process.

In one call we'll tell you whether AI can do it reliably, how we would test that, and what a first version would take. No slideware.