Unverified50% confidenceEventExact time
Microsoft senior engineer Bob Ward proposed on the Data Exposed show moving chat completion and Agentic RAG directly inside the SQL engine so that AI inference can be completed without data leaving the database.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/28/2026
First Seen
Valid until: 12/27/2026
Sources
Related Entities
Related Claims
UnverifiedThe proposed dedicated database can run agentic background processes to proactively identify duplicate work items and automatically deduplicate them.58% similarUnverifieddbtcharts proposed the concept of "Charts built for Chat," attempting to redefine the role of data visualization in AI conversational scenarios.57% similarUnverifiedAfter analyzing the prompt, V0 can automatically identify that the project requires Supabase for data storage and autonomously execute backend SQL commands to create and configure data tables.57% similarUnverifiedRAG、分层代码摘要、代码知识图谱等策略是当前企业级AI编程工具突破上下文窗口限制的核心技术手段57% similarUnverifiedThe core idea of RAG is to retrieve the most relevant text fragments from an external knowledge base as context to feed into the model before passing the user's question to the LLM, in order to answer questions beyond the training data and reduce hallucinations.57% similar
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