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KES AI Database

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Headlines · 3

  1. NL2SQL accuracy stuck at 40%? The author's answer: schema comments, not the model

    A practitioner account of a government data-platform deployment where the generated SQL was syntactically valid and ran fine, but filtered on the wrong column: user_status stored registration-channel codes while the real validity flag was is_valid, so "valid users" came out wrong. The author argues deployment failures mostly stem from undocumented fields, undefined business metrics, and unclear ownership, and recommends a three-layer approach: add table/column comments with enumerated values, write machine-readable metric definitions with formulas, time windows, exclusions and an owner, then choose where the semantic layer lives. In one internal validation on more than 100 questions with the same model, executable-SQL rate stayed near full marks while answer accuracy reportedly rose from just over 40% to above 85% after comments and metric definitions were added.

    掘金 · 人工智能 · 🔥 0
  2. KES AI Database Brings AI Capabilities Inside the Database

    Kingbase released KES AI Database in late October, according to TMTPost, with in-database semantic construction, computation and inference, and native data-security controls. The product also follows comparable AI-database releases from Alibaba Cloud, Tencent Cloud and OceanBase during the year, including PolarDB Agentic Database, Agent Memory, DatabaseClaw, TDSQL Nexa and OceanBase AI Database.

    钛媒体 · 🔥 0
  3. Kingbase Launches KES AI Database

    Kingbase launched KES AI Database in Beijing on October 30, adding a native semantic layer, in-database vector and graph processing, embedded access controls, and AI development tooling. The product also integrates ONNX Runtime and connects with AI tools and agent frameworks through KES MCP and Agent Skills. Kingbase reported that, with 100 million 768-dimensional vectors and 98% recall, peak memory use fell 95.4% and query latency dropped 80%, but these vendor results have not been independently verified.

    36氪 人工智能 · 🔥 0

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