Execution Agents in GPT Researcher are responsible for searching online for the most relevant information related to each research question generated by the Planning Agent3. They gather data from various sources and summarize it based on relevance, keeping track of sources. The information collected by Execution Agents is then used by the Planning Agent to create a comprehensive research report. This collaborative process between Planning and Execution Agents allows for efficient and thorough information gathering, resulting in detailed and unbiased research reports.
GPT Researcher ensures the reliability and up-to-date nature of the information it provides by using advanced algorithms and models to gather information from trusted sources. It leverages a large number of sources to minimize biases and focuses on the most frequent data points to reduce errors. The tool also supports various file formats and can analyze local documents, making it versatile for different research needs. Additionally, GPT Researcher is built using a multi-agent system that allows multiple specialized agents to collaborate on a research task, improving the depth and quality of the final report.
The Planning Agent in the GPT Researcher system plays a crucial role in generating a set of research questions based on the initial query or task. It is responsible for breaking down the research task into smaller, manageable subtopics. These research questions guide the Execution Agents, which search online for the most relevant information related to each question. Once the Execution Agents have gathered the information, the Planning Agent filters and aggregates the data to create a comprehensive research report. This collaborative process ensures that the final report is detailed, accurate, and unbiased.