GoogleCloudPlatform/knowledge-catalogPublic

What is knowledge-catalog?

An AI-powered data catalog providing a dynamic knowledge graph for context-aware enterprise AI agents.

What does knowledge-catalog do?

Knowledge Catalog functions as a robust, enterprise-grade metadata management platform originally built by Google Cloud. It efficiently ingests both structured and unstructured enterprise data to automatically construct a dynamic, comprehensive knowledge graph of an organization's assets. This sophisticated graph directly provides crucial semantic and business context to AI agents, actively enabling them to ground their responses in organizational reality and reduce hallucinations. The open-source repository serves as an extensive collection of tools, sample agents, and reference architectures explicitly for building context enrichment and retrieval solutions on top of the catalog.

Who is knowledge-catalog for?

Knowledge Catalog is heavily designed for enterprise data engineers, AI developers, and system architects responsible for building context-aware applications. It strictly requires an active Google Cloud Platform environment and deep familiarity with enterprise data.

How do I get started with knowledge-catalog?

git clone https://github.com/GoogleCloudPlatform/knowledge-catalog.git

How popular is knowledge-catalog on GitHub?

GoogleCloudPlatform/knowledge-catalog has 9,350 stars and 794 forks on GitHub, and gained 56 stars in the last 7 days.

What license does knowledge-catalog use?

GoogleCloudPlatform/knowledge-catalog is released under the Apache-2.0 license.

• Actively maintained

  Pushed within 48 hours

• Permissive license

  Apache-2.0

• Continuous integration

  Automated checks passing

• Repeat trending

  3 trending appearances

Knowledge Catalog functions as a robust, enterprise-grade metadata management platform originally built by Google Cloud. It efficiently ingests both structured and unstructured enterprise data to automatically construct a dynamic, comprehensive knowledge graph of an organization's assets. This sophisticated graph directly provides crucial semantic and business context to AI agents, actively enabling them to ground their responses in organizational reality and reduce hallucinations. The open-source repository serves as an extensive collection of tools, sample agents, and reference architectures explicitly for building context enrichment and retrieval solutions on top of the catalog.

Knowledge Catalog is heavily designed for enterprise data engineers, AI developers, and system architects responsible for building context-aware applications. It strictly requires an active Google Cloud Platform environment and deep familiarity with enterprise data.

• Dynamic knowledge graph: Automatically links disparate structured and unstructured enterprise data into a single, coherent semantic network.
• AI agent context: Directly provides robust business context and precise semantics to accurately ground AI agent responses.
• Metadata management: Offers a comprehensive suite of tools for accurately tracking, cataloging, and managing massive enterprise data assets.
• Reference architectures: Includes detailed sample code and integrated tools demonstrating how to build robust, scalable retrieval solutions.
• Multi-format support: Seamlessly processes, handles, and connects various data formats ranging from relational SQL databases to raw text documents.

Getting started: git clone https://github.com/GoogleCloudPlatform/knowledge-catalog.git

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