Knowledge Assistant

Knowledge & Search

See how retrieval-augmented generation (RAG) works in practice. A question is embedded, matched against a vector store of documents, and the most relevant context is used to generate a precise, cited answer. This is the pattern behind internal knowledge bases, support bots, and research assistants.

Internal knowledge basesCustomer support automationResearch assistancePolicy Q&A systems

Query Received

Query Embedded

Context Retrieved

Answer Generated

Sources Returned

Input

Sample Data

Your Question

Output

Select a knowledge base and ask a question to see retrieval-augmented generation in action.