Document Assistant

Overview

The Document Assistant is a specialized AI agent designed to answer complex questions by thoroughly searching and synthesizing information from a set of provided documents. It operates as a Retrieval-Augmented Generation (RAG) system, ensuring that every piece of generated content is directly traceable back to its source material.

Its key feature is real-time streaming; users can observe the agent's entire workflow—from searching the corpus to synthesizing the final answer—providing transparency and building trust in the results.

Capabilities

• Document Search: Utilizes a dedicated tool to index and search across multiple uploaded files.
• Contextual Retrieval: Retrieves only the most relevant document excerpts pertaining to the user's query.
• Guided Synthesis: Employs strict prompting guidelines to synthesize answers that are accurate, well-formatted markdown, and strictly confined to the provided context.
• Source Citation: Automatically cites every piece of information using a precise format (e.g., (Source: filename, Page X)).
• Streaming Output: Streams its internal thoughts, search steps, and final answer in real time for maximum user engagement.

Example Use Cases

• Policy Interpretation: Uploading an employee handbook and asking, "What is the policy on remote work reimbursement?" The agent will cite the exact section and page number.
• Research Synthesis: Providing multiple academic papers and asking, "What are the three main contributing factors to climate change according to these sources?" The agent compiles a list with citations from each paper.
• Meeting Minutes Q&A: Uploading transcripts of several meetings and asking, "Who was assigned the follow-up task regarding budget review?"