Document Grounding Search Agent

Overview

This Document Grounding Search Agent is a specialized Retrieval Augmented Generation (RAG) system designed to provide highly accurate, source-cited answers based exclusively on a provided set of documents. It prevents hallucination by forcing the model to ground every statement in retrieved context.

Capabilities

• Mandatory Search First: The agent's primary workflow mandates using the document_search_tool before generating any answer.
• Strict Grounding: Responses are strictly limited to information found within the search results, preventing reliance on general knowledge.
• Source Citation: Every piece of derived information is accompanied by explicit citations (filename and page number) for verifiability.
• Failure Handling: It provides a clear, predefined response if no relevant documents can be found.

Example Use Cases

• Policy Interpretation: Uploading company handbooks and asking, "What is the policy on remote work expenses?" to get an answer with specific section citations.
• Technical Q&A: Providing a stack of research papers and asking, "What are the primary limitations mentioned for Model X in these studies?"
• Meeting Minutes Summary: Uploading multiple meeting transcripts and asking, "Who was assigned follow-up tasks regarding the Q3 budget?" to ensure all assignments are traceable back to the minutes.