RAG Knowledge Assistants
Retrieval-Augmented Generation (RAG) connects a large language model to your own documents and data. Staff and customers ask questions in plain English or Hindi and get accurate answers grounded in your content, with links to the exact source.
- Ingest PDFs, Word, Excel, websites, SharePoint and SQL databases
- Vector search with pgvector, Pinecone, Qdrant or Elasticsearch
- Answers with page-level citations to reduce hallucinations
- Role-based access so users only see what they are allowed to
Example: Searchable assistant for HR policies, SOPs, circulars and product manuals.

