GPT Researcher is an open-source autonomous research agent that utilizes advanced algorithms to gather and curate data from trusted online sources and local documents. It enables users to generate detailed research reports in minutes, addressing the time-consuming nature of traditional research methods.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional research methods are time-consuming, often requiring hours of manual data collection and curation from various online and local sources. This process can be inefficient and may not always yield comprehensive or unbiased results.
Solution
GPT Researcher is an open-source autonomous research agent designed to streamline the research process by automatically gathering and synthesizing information from trusted online sources and local documents. By leveraging advanced algorithms and models, it enables users to generate detailed research reports in minutes, significantly reducing the time and effort associated with traditional research. The agent supports integration with various LLMs and search engines, allowing for customizable and accurate research tailored to specific objectives. GPT Researcher aims to empower individuals and organizations with accurate, unbiased, and factual information, facilitating informed decision-making and deeper insights.
Target Audience
GPT Researcher is designed for individuals, startups, and enterprises that require efficient and accurate research for informed decision-making, AI automation, and various applications such as company briefs, competitor analysis, market research, and academic studies.
Features
- Autonomous research agent capable of gathering and curating data from online and local sources
- Supports integration with various LLMs, including OpenAI, Anthropic, Groq, Llama 3, and custom-trained models
- Compatible with multiple search engines such as Google, Bing, Tavily, and DuckDuckGo
- Ability to research local documents and files, enabling hybrid research using both local and web sources
- Generates long reports exceeding LLM token limits (2K+ words)
- Exports research reports in multiple formats, including PDF, Word, Markdown, JSON, and CSV
- Supports multi-agent collaboration for team-based research
- Capable of intelligent question generation to guide the research process
- Employs parallel web scraping and summarization for speed and reliability
- Offers customizable domain-specific agents to tackle specific research queries