Chat-with-your-Documents (RAG)

Employees and customers waste time searching through PDFs, policy documents, and knowledge bases. Generic chatbots hallucinate or give irrelevant answers.

Documents are ingested, chunked, and embedded into a vector store. When a user asks a question, the system retrieves the most relevant passages and uses an LLM to compose a grounded answer with citations — never from the open internet.

Instant, accurate answers from your own documents. No hallucinations. Reduces support load and enables self-service at scale.