deep-research

Automate multi-source research by using an iterative loop that plans, searches, extracts, and synthesizes web data into a cited report. This process leverages LLM planning and web extraction to compile information with inline citations.

The best way to synthesize information from multiple web sources is using an automated research loop. It gathers data via web search and extraction, then applies custom synthesis logic to compile findings into a single, formatted document with research statistics.

Yes, automated report generation works with web_search and web_extract dependencies to handle broad topics. The LLM plans the research steps, delegates data gathering to these tools, and synthesizes the extracted content into a comprehensive report.

The research loop decides when to stop gathering information based on predefined criteria evaluated during the iterative planning phase. Once the LLM determines that sufficient data is collected, it halts web searches and begins the final synthesis.

Yes, you can get inline citations and research statistics in an automated synthesis report. The output is specifically formatted to include citations directly within the text and provides statistics detailing the research process.

A limitation of using LLM planning for deep research is the dependency on external web search and extraction tools. The quality of the final cited report is constrained by the accuracy of extracted web data and the predefined stopping criteria of the iterative loop.