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Elasticsearch

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Headlines · 5

  1. Diagnosing Slow Elasticsearch Search with STAROps

    A Juejin tutorial demonstrates how engineers can use the STAROps Elasticsearch 智能助手 to inspect per-node CPU, query load, and shard distribution during a search slowdown. Its worked example shows how a Green cluster and healthy average CPU can conceal sustained pressure on one node, while emphasizing that slow logs and thread-pool rejection deltas are still needed to establish the root cause.

    掘金 · 人工智能 · 🔥 0
  2. Alibaba Cloud releases AgenticSearch 2.0 for enterprise agents

    According to a report by Alibaba Cloud’s AI Search product lead, Alibaba Cloud released AgenticSearch 2.0 at the Yunqi Conference. The update includes agent orchestration, long-term memory, multimodal and enterprise retrieval, web-search augmentation, observability, governance and IM delivery. Vendor-reported tests in the described configuration produced a 96.69% score on LoCoMo, 81.37% accuracy on LongMemEval-V2 and 68.18% input-token savings. The report does not provide independent verification of the release or performance claims.

    掘金 · 人工智能 · 🔥 0
  3. NVIDIA launches FOX blueprint for factory operations agents

    NVIDIA Technical Blog introduced the Factory Operations Blueprint (FOX), a reference architecture that connects a factory manager agent to existing factory data, tools, specialist agents, and equipment. At Siemens’ Erlangen electronics factory, FOX agents powered by NVIDIA Nemotron run production-planning simulations through Siemens Intelligence Center X, while a separate reference example coordinates defect inspection, root-cause analysis, rework, and robot fleets. NVIDIA claims the Siemens system can enable cost savings of up to 20%, but that figure and related time-to-market claims are not independently verified.

    NVIDIA Technical Blog · 🔥 0
  4. Claude Chat and Coding Agents Choose Different Databases

    A Reddit user compared 612 database recommendations from Claude Sonnet 5 via the API with 87 Claude Code and Cursor build runs across seven application categories. The agents often selected lower-setup options, choosing SQLite for 93% of new web apps and 92% of full-text-search builds, while chat more often recommended Postgres. The experiment used different models and non-identical prompts, with only 12–15 builds per category, so it does not establish that model choice caused the differences.

    r/ClaudeAI · 🔥 0
  5. CloudDM 4.5.0 released with AI SQL assistant and Elasticsearch support

    Open Source China reports that CloudDM, a free and open-source team database management tool, released version 4.5.0, adding support for Elasticsearch and the YashanDB database. The release also introduces an AI SQL assistant that generates SQL from natural language using authorized database metadata. CloudDM itself offers unified web database access, permission control, data masking, SQL review, workflow collaboration and database CI/CD, with source code hosted under ClouGence on GitHub and Gitee.

    开源中国 · 🔥 0

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xerj• Pinned

xerj: A local-first search engine and MCP server for AI agents.

What problem it solves Coding agents often need to read many files into their context to locate relevant code and documentation. Projects also need a shared way to search code, structured data, logs, and documents, retain agent memory, and expose those capabilities through familiar APIs and MCP clients. Key features Automatic folder indexing — Point the CLI at a folder and XERJ detects file types,…

github.comhttps://github.com/xerj-org/xerj