What is the project about?

GPT Researcher is an autonomous agent designed for comprehensive online research on any given topic. It generates detailed, factual, and unbiased research reports, complete with citations.

What problem does it solve?

• Reduces the time and resources needed for manual research, which can take weeks.
• Addresses the issue of LLMs hallucinating or providing outdated information by using current web sources.
• Overcomes token limitations of LLMs to generate longer, more comprehensive research reports.
• Avoids shallow results and misinformation by aggregating information from many web sources (over 20).
• Minimizes bias by considering a wide range of sources, rather than a selective few.

What are the features of the project?

• Generates detailed research reports from web and local documents.
• Smart image scraping and filtering.
• Generates reports exceeding 2,000 words.
• Aggregates information from 20+ sources.
• Offers lightweight (HTML/CSS/JS) and production-ready (NextJS + Tailwind) frontend versions.
• JavaScript-enabled web scraping.
• Maintains memory and context during research.
• Exports reports to PDF, Word, and other formats.
• Multi-Agent research using LangGraph.

What are the technologies used in the project?

• Python (3.11 or later).
• Large Language Models (LLMs) via APIs (like OpenAI).
• Tavily Search API.
• Web scraping libraries.
• FastAPI.
• Docker (optional).
• Frontend: HTML/CSS/JS, or NextJS + Tailwind.
• LangGraph (for multi-agent system).

What are the benefits of the project?

• Saves time and resources in research tasks.
• Provides more accurate and up-to-date information compared to relying solely on LLMs trained on older data.
• Generates comprehensive reports that go beyond the token limits of standard LLMs.
• Reduces the risk of misinformation and bias.
• Offers customizable options for tailored research.
• Easy to set up and use, with multiple deployment options (pip package, Docker, etc.).

What are the use cases of the project?

• Academic research.
• Market research.
• Content creation.
• Competitive analysis.
• Due diligence.
• Any task requiring in-depth research from online and local sources.
• Generating reports based on local documents.