How to Build a Powerful Deep Research System

A deep research system allows for in-depth analysis of vast amounts of information, offering a more powerful alternative to standard RAG or keyword search. Building one involves gathering data and creating both keyword and vector similarity indexes for efficient retrieval. The system's architecture uses an orchestrator agent, a powerful LLM, to plan research tasks and deploy multiple subagents. These subagents use tools like keyword and vector search to fetch and summarize information, which the orchestrator then synthesizes into a comprehensive final answer.