Mega refactor for optimized modularity 🎉🎆
We’re excited to release the next generation of GPT Researcher! We’ve completely refactored the code base to be more modular, customizable, stable and accurate. We’ve added many new features, improvements and bug fixes.
Below is a list of the main changes:
- Improved report generation prompt for better accuracy and quality.
- Added a new config structure including support for external JSON files.
- Redesigned GPT Researcher library to be enabled as a stand alone agent in any project (see example in repo).
- Added new structure for retrievers, enabling a better developer experience for adding and modifying information retrievers.
- Optimized configuration for latest GPT-4 Turbo model.
- Fixed issues with scraping and improved overall stability and speed.
- Added support for arxiv and pdf scraping urls.
- Added a rich documentation site with Docusaurus (see docs.tavily.com).
- Updated all Python packages to latest for most up to date performance and experience
Just git pull
the latest version and give it a run!
Next, we’re building embedding support and long term memory!
To see what’s next on our roadmap check it out here: https://trello.com/b/3O7KBePw/gpt-researcher-roadmap