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knowledge

  • Machine Learning

    Meet Carl: a fast agent for enterprise knowledge, powered by custom RL

    by March 5, 2026
    March 5, 2026

    Reinforcement Learning for Enterprise Agents For complete technical report, Click here. Are you interested in trying Databricks Custom RL on your enterprise agent? Click here. The improved reasoning capabilities of …

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  • Machine Learning

    From Tribal Knowledge to Quick Answers: Building Refi on Databricks

    by March 3, 2026
    March 3, 2026

    Finding the right customer story at the right time is surprisingly harder than expected. To improve employee productivity, we created Refi – an app that enables users to search and …

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  • Machine Learning

    Agentic RAG and Semantic Caching: Building Smarter Enterprise Knowledge Systems

    by February 24, 2026
    February 24, 2026

    Last updated on February 23, 2026 by Editorial Team Author(s): Utkarsh Mittal Originally published on Towards AI. Section 1: The rise (and limitations) of RAGs. Enterprise data is messed up. …

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  • AI News

    Google releases Conductor: a context-driven Gemini CLI extension that stores knowledge as Markdown and streamlines agentic workflows

    by February 2, 2026
    February 2, 2026

    Google has introduced Conductor, an open source preview extension for the Gemini CLI that turns AI code generation into a structured, context driven workflow. Conductor stores product knowledge, technical decisions, …

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  • Generative AI

    A coding implementation for training, optimizing, evaluating, and annotating knowledge graph embeddings with PyKEEN

    by January 30, 2026
    January 30, 2026

    In this tutorial, we walk through using an end-to-end, advanced workflow for knowledge graph embeddings PykenActively exploring how modern embedding models are trained, evaluated, optimized, and interpreted in practice. We …

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  • AI News

    How Tree-KG enables hierarchical knowledge graphs for contextual navigation and interpretable multi-hop logic beyond traditional RAGs

    by January 27, 2026
    January 27, 2026

    In this tutorial, we implement Tree-KG, an advanced hierarchical knowledge graph system that goes beyond traditional retrieval-augmented generation by combining semantic embeddings with explicit graph structure. We show how we …

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  • Machine Learning

    Agent Bricks Knowledge Assistant Now Generally Available: Transforming Enterprise Knowledge into Answers

    by January 27, 2026
    January 27, 2026

    Some of your company’s most valuable data is still hard to access. Documents, slides, PDFs, and internal systems contain important information, yet teams spend too much time finding, cross-checking, and …

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  • Machine Learning

    How 7‑Eleven Transformed Maintenance Technician Knowledge Access with Databricks Agent Bricks

    by January 9, 2026
    January 9, 2026

    Empowering technicians in every store 7‑Eleven’s maintenance technicians keep the store running smoothly by servicing a wide range of equipment, from food service equipment and refrigeration units to fuel dispensers …

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  • AI Tools

    A coding implementation on building self-organized Zettelkasten knowledge graphs and sleep-consolidation mechanisms

    by December 26, 2025
    December 26, 2025

    In this tutorial, we dive into the cutting edge of agentic AI by building a “Zettelkasten” memory system, a “living” architecture that organizes information like the human brain. We go …

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  • Machine Learning

    Gistr: Smart AI Notebook to Organize Knowledge

    by December 22, 2025
    December 22, 2025

    Image by author , Introduction The job of a data scientist is not just to collect data points, but to create a connected web of knowledge from different sources. A …

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  • Defense official says Pentagon plans to train AI companies on classified data

    March 18, 2026
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    March 18, 2026
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    March 18, 2026
  • What’s new in Azure Databricks at FabCon 2026: Lakebase, Lakeflow, and Genie

    March 18, 2026
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