Product overview
What is GPT Researcher?
GPT Researcher is an open-source autonomous deep-research agent. A user supplies a research objective, and the system gathers information from multiple sources, organizes the findings, and produces a report with inline citations. It is designed for standalone research and for use as a specialist inside a wider multi-agent system.
The project supports web sources, local documents, and hybrid research. Users can select different language models and search engines, generate reports longer than a normal model response, continue with follow-up research, and export results to document or structured-data formats.
How to Use GPT Researcher
- State the subject, scope, audience, and desired research outcome.
- Configure the preferred model, search provider, and any local document sources.
- Start the research task and let the agent gather information from multiple sources.
- Review the generated report and inspect its citations.
- Ask follow-up questions or launch deeper research on a finding.
- Export the final work to PDF, DOCX, Markdown, JSON, or CSV.
Core Features
- Autonomous research: Plans and executes multi-source information gathering from one request.
- Cited reports: Organizes evidence into a readable report with inline source references.
- Model choice: Supports multiple commercial and open-source language models.
- Search-provider choice: Works with several web search engines and research APIs.
- Local and hybrid sources: Searches user files alone or together with web content.
- Long-form output: Produces reports beyond a typical short model response.
- Multi-agent support: Operates as a research specialist alongside other agents.
Use Cases
- Company and market research: Prepare briefs, competitive analysis, and trend reports.
- Academic research: Gather sources and synthesize a cited overview of a topic.
- People and talent research: Investigate candidates, roles, or industry expertise.
- Travel planning: Compare locations, logistics, and recommendations from multiple sources.
- Financial research: Collect public information for company or stock analysis.
- Business intelligence: Produce evidence-backed insights for operational decisions.
Pricing
GPT Researcher is presented as an open-source project. Users are responsible for the cost and terms of any selected language-model, search, hosting, or data providers.
Frequently Asked Questions
Can GPT Researcher use local documents?
Yes. It supports local-file research and hybrid research that combines local and web sources.
Can it work with different language models?
Yes. The website names providers including OpenAI, Anthropic, Groq, Llama, and Hugging Face options.
Which formats can be exported?
The site lists PDF, Word, Markdown, JSON, and CSV.
