Hey there! Your friendly technical writer here, bringing you a summary of 30 events from the past week.

This week, the team made significant upgrades to LlamaIndex, including new data connectors, integration with Vellum, and DynamoDB-backed storage. They also squashed some bugs and improved performance and maintainability.

Performance and Maintainability 🚀

• Updated LLM Predictor import and changed the predictor class for better maintainability (Simon)
• Replaced list comprehension with list for better performance (Taras)
• Optimized code to skip an unnecessary loop in debug mode (Taras)

Bug Fixes and Improvements 🐛

• Fixed a typo in output_parsing.md file (Ofer)
• Fixed a bug where the simple reader wasn't recognizing file suffixes correctly (Logan)
• Resolved a security vulnerability by updating setup.py to accept requests>=2.31.0 (Mai)

LlamaIndex Upgrades 🦙

• LlamaIndex now offers more data connectors, ways to structure data, and an advanced retrieval/query interface (Jerry)
• Added DynamoDB-backed KV store, Document Store, Index Store, and Vector Store for easier data storage setup (Yuta)
• Integrated LlamaIndex with Vellum for easy management of prompts and model comparison (Noa)