Verba 0.3.0 Release - The Golden RAGtriever's Newest Update! 🚀

We're excited to announce the release of Verba 0.3.0 - a significant step forward for our Golden RAGtriever. This update brings a host of new features, improvements, and fixes to enhance your experience with our powerful Retrieval-Augmented Generation tool.

What's New in Verba 0.3.0?

Major Enhancements:

• Refactored Modular Architecture: We've restructured Verba for better performance and scalability.
• New Data Import Capabilities: Import data effortlessly through the frontend, CLI, and script.
• Advanced Readers and Chunkers: Introducing SimpleReader, PathReader, GithubReader, PDFReader, WordChunker, and SentenceChunker.
• Improved Embedders: ADAEmbedder, SentenceTransformer, and Cohere have been added for more robust data processing.
• Enhanced Generators: GPT3, GPT4, LLama, and Cohere are now available, offering versatile data generation options.
• Added Functionality: Enjoy a new Status Page, Reset functionality, Streaming Token Generation, Lazy Document Loading, Copy and Cached Tag, Improved Semantic Cache, and more.

Additional Features:

• Extended Model Support: LLama 2 and Cohere are now supported, alongside the latest OpenAI models.
• Enhanced Documentation: Dive into improved documentation and new technical docs and contribution guidelines.

Fixes and Tweaks:

• Improved Error Handling: We've addressed data ingestion errors and schema handling on startup.
• Refined Experience: Removed Simple- and AdvancedEngine logic for a streamlined user experience.

To get started with Verba 0.3.0, simply run:

pip install goldenverba

Join us in exploring this new frontier of data interaction and generation with Verba 0.3.0. Your feedback, as always, is invaluable to us, so please share your experiences and suggestions to help us continue improving Verba.

Happy RAG! ❤️