RAG Knowledge Assistants 

Answers from your own knowledge, with sources

General AI models don’t know your policies, products or procedures. Retrieval-Augmented Generation (RAG) fixes that: your documents are indexed securely, the most relevant passages are retrieved for each question, and the AI answers using only that context — citing its sources so users can check.

How it works01 / 04

A user asks a question

  1. A user asks a question
  2. Relevant passages found in your documents
  3. The AI answers using only that context
  4. Accurate answer with sources

01

What we deliver

  • Secure ingestion of documents, wikis, PDFs and databases.
  • Vector search and hybrid retrieval tuned to your content.
  • Answers with citations and respect for user permissions.
  • Evaluation of answer quality and continuous improvement.

02

Typical use cases

  • Internal knowledge base and policy assistants.
  • Customer support answers from product documentation.
  • Contract, compliance and technical document search.
  • Onboarding assistants for new employees.