literature_review
This agent automates deep web research by generating queries, gathering relevant sources, summarizing key information, and iterating on knowledge gaps to refine the results.
Example requests
beeai run literature_review "quantum"
Description
The agent is designed to automate the process of conducting literature reviews by gathering, analyzing, and synthesizing information from multiple sources. It uses a combination of Google searches and Arxiv database queries to fetch relevant academic papers and data, subsequently generating a well-formatted report.
How It Works
The agent handles requests to perform literature reviews. It utilizes a set of assistant agents, including Google and Arxiv search agents, to gather information. Once the data is collected, a report agent synthesizes the information into a structured literature review, ensuring that references are correctly formatted. The process involves a round-robin communication strategy among the participating agents, with a termination condition for task completion.
Input Parameters
- text (string) – Contains the text query or topic for which the literature review is to be conducted.
Key Features
- Automated Literature Review – Conducts thorough searches across Google and Arxiv to gather relevant academic information.
- Structured Report Generation – Compiles and formats the search results into a coherent literature review with proper references.
- Multi-Source Data Collection – Leverages both general web searches and academic databases for comprehensive data gathering.
- Dynamic Agent Collaboration – Uses a round-robin approach to coordinate between search and report agents.