Datasette 1.0a34 ships native CRUD operations in the browser interface, letting users insert, edit, and delete rows directly from table and row pages. The feature was prompted by Datasette Agent, which recently gained SQL write support, creating an awkward asymmetry where the AI chat interface could modify data but the standard UI could not. The release moves Datasette meaningfully closer to a lightweight data-management tool rather than a read-only data publishing layer.
Google Research and Google Cloud introduced an agentic RAG framework hosted on Gemini Enterprise Agent Platform. It uses multiple agents to plan, rewrite, route, retrieve, verify sufficient context, iterate, and synthesize answers. Google reports up to 34% factuality accuracy gains over standard RAG, plus 90.1% accuracy in a cross-corpus FramesQA setting with similar latency to single-corpus retrieval.
### Background and Pain Points: The Limitations of Git LFS Hugging Face Hub, as the world's largest AI model and dataset hosting platform, has long relied on…