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
- A user asks a question
- Relevant passages found in your documents
- The AI answers using only that context
- 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.
