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TENOQ

ChatGPT over your knowledge base (RAG)

Search and answers across documents, manuals and policies with source citations.

Calculate the cost

What we do

RAG (Retrieval-Augmented Generation) means the AI first finds relevant passages in your documents, then answers only from them. We connect Google Drive, Notion, Confluence, PDFs and websites, set access permissions and index updates.

Who it is for

Companies with extensive policies, legal, medical, manufacturing and support teams.

Problems we solve

  • New hires spend weeks on policies
  • Same questions to senior staff
  • Documents are outdated and contradictory

What you get

  • Document audit and cleanup
  • Vector search index
  • Chat for team or customers
  • Source citations
  • Automatic index updates
  • Knowledge gap report

How we work

  1. 01

    A 10-minute brief

    An online brief asks clarifying questions and turns your needs into a structured document. You spend 10 minutes instead of three calls.

  2. 02

    Estimate and prototype

    Within 24-48 hours you get a fixed price, a stage plan and a clickable prototype of key screens.

  3. 03

    Design

    A designer builds the UI on a design system. Ready components speed up options, copy and illustrations.

  4. 04

    Development

    Our tooling generates boilerplate, tests and docs, so developers focus on product logic and move several times faster.

  5. 05

    Testing and security

    Automated tests, a security check and manual human QA. No line ships to production without review.

  6. 06

    Launch and support

    We go live, connect analytics, train your team and support you free for 30 days.

Tech stack

  • Claude API
  • pgvector
  • Voyage AI
  • unstructured
  • Google Drive API
  • Notion API
  • Next.js

Related cases

  • AI agentHelpwise · SaaS · 16 days

    • 71%

      requests resolved by AI

    • 6 с

      first response time

Illustrative case

FAQ

Questions about this service

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