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Evoxatech®
Labs demoIn build

Ask Your Docs

A Labs demo of the Knowledge Agent pattern: upload a document set, ask questions, and get answers cited back to the exact source passage.

This is a Labs demo — something Evoxatech built to show how the pattern works. It is not client work.

Demonstrates: Knowledge AgentAll work
Abstract bent paper shapes in orange and deep blue
Status
Labs demoIn build
Demonstrates
Knowledge Agent

Why we built it

Almost every first call includes some version of “our team can’t find anything.” Ask Your Docs is the smallest honest demo of a knowledge agent: drop in your documents, ask in plain language, get an answer with the source attached.

What it shows

Ask in plain languageNo query syntax — type the question the way you’d ask a colleague.
Answers with receiptsEvery response cites the passage it came from, so verification is one click.
Knows what it doesn’t knowWhen the documents are silent, the agent says so instead of guessing.
Bring your own filesDrop in PDFs, exports, policies — chunking and indexing happen on upload.
Paper documents and folders sorted on a desk

The problem

Every RAG demo answers confidently. Very few show you where the answer came from, which is the only thing that makes it usable at work.

The approach

Hybrid retrieval over an uploaded corpus, with every claim linked to the passage it came from and an honest “I do not know” when the corpus does not contain the answer.

How we built it

Ask Your Docs

On the ground
  1. 01

    Ingest

    Documents are chunked and embedded on upload.

  2. 02

    Retrieve

    A question pulls the most relevant passages, ranked.

  3. 03

    Answer with sources

    Every claim links back to the passage it came from.

  4. 04

    Refuse politely

    When the documents don’t say, the agent says so.

Retrieval

Use this pattern in your business.

Archive folders of company documents

Every answer your company already has, findable in one question.

  • Connectors for Drive, Notion, Confluence, SharePoint, Zendesk, Postgres or your file store
  • Ingestion pipeline with chunking, embedding and incremental re-index as documents change
  • Hybrid retrieval — vector and keyword, because pure vector search fails on names, codes and SKUs
  • Permission-aware answering — never surfaces a document the asker could not open
  • Cited answers, every response linked back to its sources
  • Web widget plus Slack or Teams
  • Admin view for content freshness, unanswered questions and knowledge gaps
  • A 50-question evaluation set built with you, and an accuracy report before handover
  • Deployment to your cloud or a managed VPS, with monitoring
See the offer

Built with

  • Next.js
  • TypeScript
  • Python
  • PostgreSQL
  • vLLM

Start with this offer.

Six questions, two minutes. We read every submission ourselves and reply within two business days.

Start a projectAll work