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description=Use the Data Agent Kit extension for VS Code to browse datasets, tables, and columns in BigQuery, Lakehouse runtime catalog, and other Google Cloud Data Agent Kit services.;

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find and explore data google cloud data agent kit extension for visual studio code google cloud documentation skip to main content technology areas close ai and ml application development application hosting compute data analytics and pipelines databases distributed hybrid and multicloud industry solutions migration networking observability and monitoring security storage cross product tools close access and resources management costs and usage management infrastructure as code sdk languages frameworks and tools console english deutsch español américa latina français indonesia italiano português brasil עברית 中文 简体 中文 繁體 日本語 한국어 sign in data agent kit extension visual studio code start free overview guides resources technology areas more overview guides resources cross product tools more console discover data agent kit extension for vs code overview get started install the extension set up and configure settings find and explore data query data develop transform data train ai and ml models build data engineering pipelines extension commands connect use mcp servers use cli plugins mitigate prompt injection risks troubleshoot troubleshoot extension issues ai and ml application development application hosting compute data analytics and pipelines databases distributed hybrid and multicloud industry solutions migration networking observability and monitoring security storage access and resources management costs and usage management infrastructure as code sdk languages frameworks and tools home documentation data analytics data agent kit extension visual studio code guides send feedback find and explore data stay organized with collections save and categorize content based on your preferences preview this product is subject to the pre ga offerings terms in the general service terms section of the service specific terms and the additional terms for generative ai preview products pre ga products are available as is and might have limited support for more information see the launch stage descriptions vs code keyboard_arrow_down vs code antigravity ide this page describes how to discover your data entities in the google cloud data agent kit extension for visual studio code and learn about them the extension offers multiple entry points to find your data ranging from a catalog explorer and search to agentic chat before you begin install the extension configure settings enable all the apis and configure your project and region optional to interact with cloud sql for mysql cloud sql for postgresql and alloydb for postgresql resources in the data agent kit extension for vs code you must configure them so that metadata can be ingested into the knowledge catalog for more information see enable the integration of knowledge catalog on your cloud sql for mysql instance enable the integration of knowledge catalog on your cloud sql for postgresql instance enable the knowledge catalog integration for your alloydb cluster explore the catalog the catalog explorer provides a structured view of your data entities navigate the catalog by completing these steps in the ide activity bar click the google cloud data agent kit icon in the google cloud data agent kit menu expand the catalog section the explorer displays these data sources in a tree structure data entities in bigquery and biglake and alloydb cloud sql and spanner entities in your current project bigquery public datasets other projects in your organization that you have access to click load more to see them in the explorer to navigate the hierarchy click a node to expand it for example when you click a project id the explorer displays data sources organized by product name click a product name to explore your data entities for that product and continue expanding to view views and tables click a data entity to view its details in a new editor tab right click a resource name to see a list of quick actions such as query or load in spark dataframe use agentic discovery to find datasets using natural language use your agent chat panel if the chat panel isn t displayed open the command palette by pressing cmd ctrl shift p then search for and run open chat in the chat panel enter a natural language prompt such as find the dataset that has customer orders the agent displays a thinking state while it searches relevant tables if the agent prompts you to run gcloud cli commands to help with the search click run for each command after the agent displays the list of relevant datasets found in your google cloud project search for and explore them in the catalog or universal search use universal search initiate a universal search from the command palette or the activity bar shortcut press cmd ctrl shift p to open the command palette search for and select search for dataset enter your search query in the quick picker and press enter to launch universal search in a new editor tab note search for dataset returns data entities including instances databases tables views bigquery datasets and schemas activity bar in the ide activity bar click the google cloud data agent kit icon in the google cloud data agent kit menu expand the catalog section click universal search universal search opens in a new editor tab enter your search query and press enter to view the search results filtering in the universal search editor use the floating filters panel to narrow results by scope systems project type or location view details after a data entity is identified view its details in a new editor tab from search results click an entity to open details for it in a new tab from the catalog explorer click a dataset such as a table name to launch its details view details tabs the details editor is organized into vertical tabs to help you understand your data s context and quality the tabs that are displayed depend on the type of data entity that you are viewing for example the details view of a bigquery dataset includes the details and relationships tabs while details for a spanner table include the schema and details tabs tab functionality preview view a sample of the dataset data schema view column names metadata types descriptions and other details of the schema for the dataset details view properties of the data entity insights access ai generated sample queries that help you jumpstart exploring datasets for more information see access data insights in knowledge catalog lineage view a visual map of the origins and descendants of the dataset along with changes or transformations that were applied for more information see about data lineage relationships view a graph of relationships with the dataset to understand how it relates to other datasets data profile view statistical summaries of the data for more information see create and use data profile scans data quality view data quality metrics such as completeness uniqueness or freshness for the selected dataset for more information see auto data quality overview what s next organizing bigquery resources introduction to lakehouse runtime catalog send feedback except as otherwise noted the content of this page is licensed under the creative commons attribution 4 0 license and code samples are licensed under the apache 2 0 license for details see the google developers site policies java is a registered trademark of oracle and or its affiliates last updated 2026 07 10 utc need to tell us more easy to understand easytounderstand thumb up solved my problem solvedmyproblem thumb up other otherup thumb up hard to understand hardtounderstand thumb down incorrect information or sample code incorrectinformationorsamplecode thumb down missing the information samples i need missingtheinformationsamplesineed thumb down other otherdown thumb down last updated 2026 07 10 utc products and pricing see all products google cloud pricing google cloud marketplace contact sales support community forums support release notes system status resources github getting started with google cloud code samples cloud architecture center training and certification engage blog events x twitter google cloud on youtube google cloud tech on youtube about google privacy site terms google cloud terms manage cookies our third decade of climate action join us sign up for the google cloud newsletter subscribe english deutsch español américa latina français indonesia italiano português brasil עברית 中文 简体 中文 繁體 日本語 한국어