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The English WHERE Clause: Plain-English Filters in Couchbase SQL++ using Jev Model

Originally, SQL was SEQUEL - Structured English Query Language.  Couchbase supports NL2SQL natively , but the WHERE clause is only supports language defined filters - range, semantic  search and text search.  Exploiting Typesafe.ai's Jev models, we now show how you can easily add plain old English filters into SQL++ WHERE clause.  This is a progress towards the original vision of making data processing natural and human. DuckDB showed Jev() functions and DataBricks added ai_decide() functions. For Couchbase, this article will show two function families, jev() and cb_decide(), can be easily added to Couchbase and let a Couchbase query judge documents and return typed answers with the Couchbase Server ! This method will show you how to exploit any model, not just Jev in Couchbase SQL++. This article explains the sample UDFs and SQL++ published in the cb-jev-functions .   In fact, Couchbase users have been doing it since 2018 to interact with external sys...
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Notes from Panel on Data Agents: Rethinking Data Systems in the AI Agent Era

Data Agents: Notes from the VLDB 2026 Panel Data Agents: Rethinking Data Systems in the AI Agent Era Moderators: Guoliang Li (Tsinghua University) · Yuyu Luo (HKUST (Guangzhou)) Panelists: Carsten Binnig (TU Darmstadt) · Samuel Madden (MIT) · Fatma Özcan (Google) · Aditya Parameswaran (UC Berkeley & Snowflake) · Nan Tang (HKUST (Guangzhou)) · Immanuel Trummer (Cornell University) · Eugene Wu (Columbia University) Note: This article is generated from my notes and memory. Raw notes at the end of this article. Hopefully, a video of this panel will be available eventually. I'll update once I see it. Any errors here are mine.  VLDB 2026 hosted a panel titled "Data Agents: Rethinking Data Systems in the AI Agent Era." The panel organized itself around four questions: WHAT is a data agent? An interface, a coding agent, another X-DB — or a new paradigm? WHY is it genuinely different? Better models, or new data-systems abstractions? HOW will it reshape dat...
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Tokens and Transactions with AI

Based on NVIDIA CEO Jesen Huang’s commentary on the Role of Databases for the Agentic Era in his GTC 2026 keynote . The diagram below is a readable version of Jensen's "Best Slide"; the content is created using LLM from the talk's transcript and then edited. Summary of the Talk [wrt Databases] For a database audience, the keynote underscores a fundamental shift: data is no longer just stored and queried—it is continuously activated to power agentic systems. The talk highlights that the center of gravity is moving from traditional transactional and analytical databases toward AI-driven data platforms that unify structured, unstructured, and real-time data streams into a single operational fabric. Massive growth in AI infrastructure—driven by data center expansion and trillion-dollar-scale compute demand—signals that data systems must scale not just for queries, but for continuous inference and agent workflows. A key theme is the rise of “agentic architectures,” where ...
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