The core functionality of the Lotta Notebook environment was successfully deployed today, marking a significant milestone for interactive data exploration. This deployment integrated the new notebook capabilities across the platform, providing users with a more flexible workspace for analysis and insight generation.

We also delivered substantial improvements to our AI capabilities, specifically related to retrieval-augmented generation (RAG). This work involved integrating a newer RAG architecture, which enhances the contextual awareness and accuracy of AI responses, especially when dealing with complex supply chain documents. Furthermore, targeted fixes were implemented to address issues with CSV data parsing, ensuring reliable ingestion of critical spreadsheet formats.

Under the hood, extensive backend refactoring and standardization efforts continued across API routes for conversations, files, and organization management. These changes focused on improving structure, consistency, and overall error handling across numerous endpoints. Finally, system dependencies were updated across the board, and comprehensive integration testing was completed to ensure stability following these wide-ranging feature enhancements and infrastructure upgrades.