QueryAgent
QueryAgent: Intelligent information retrieval and precise answers.
Publisher
Capgemini Technologies
Product Details
This agent performs RAG-based retrieval and question answering over a corpus. It plans calls to the RAG index and the database to find the best answers. Using natural language processing and retrieval-augmented generation, it improves the efficiency and accuracy of information retrieval.
It is built for users in any industry who need quick, accurate answers from large text corpora, and it runs on Vertex AI. The expected impact is better data accessibility and improved decision-making through accurate and timely information retrieval, so people spend less time searching documents and more time acting on answers.
Key Use Cases
Enterprise Knowledge Base Question Answering
Knowledge workers run hybrid RAG searches over internal documentation repositories on Vertex AI to retrieve precise, policy-grounded answers instantly.
Operational Compliance and Procedure Search
Internal auditors and operational teams query vast policy indexes to verify standard operating procedures without manually reviewing dense PDF archives.
Explore detailed deployment path
Requires Gemini. Access integration prerequisites, specialized agent configuration guides, and implementation documentation.