orneryd/knowledge-catalog

This repository is a collection of tools and samples for Google Cloud's Knowledge Catalog, which is a system designed to help you organize and make sense of all your data. The main benefit it offers is acting like an intelligent, AI-powered index for your business. Instead of having your data scattered and disconnected across different systems, the catalog maps everything out so that AI tools can actually understand the meaning and business context behind your information. At a high level, it works by creating a dynamic "knowledge graph" of your data. Think of this as a web that links your structured data (like rows in a spreadsheet) and unstructured data (like text documents) together. The samples and agents included in this repo show you how to build solutions that grab, enrich, and feed this context to AI agents. This means when an AI tries to answer a question or perform a task, it has the full background context of your business data to rely on. You would use this if you are building AI tools for your company but are struggling with how to connect those tools to your underlying data. For example, if you have a customer service AI, it needs to know your specific product catalogs, internal terminology, and customer history to be useful. This project provides the building blocks to give your AI that context, turning isolated raw data into a rich, searchable knowledge base that your agents can actually use. The project is open source under the Apache 2.0 license, meaning you are free to use and modify the code for your own needs. It is explicitly noted as a community resource rather than an official Google product. The README doesn't go into detail on the specific tools included or how to configure them, so you would need to explore the repository directly to see what is available.