> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.credal.ai/user-guide/platform/agent-builder/configuration/add-connectors/document-collections/ai-entity-extraction-beta/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.credal.ai/_mcp/server.

AI Entity Extraction allows you to specify a predetermined set of values for a field in a [Collection Schema](/user-guide/platform/agent-builder/configuration/add-connectors/document-collections/collection-schemas), and have an **LLM automatically extract these values** as we crawl data.

> For example, if you had a list of customer documents in Google Drive, or sales call transcripts in SharePoint, you could specify `Customer Name` as an entity and a list of possible customers to try to extract during syncing. This gives you automatic data curation and tagging, and allows users to use [Smart Filtering (beta)](/user-guide/platform/agent-builder/configuration/add-connectors/document-collections/smart-filtering-beta) on these entities just by asking questions to your agent.

Contact our Credal team [support@credal.ai](mailto:support@credal.ai) for help setting up AI Entity Extraction.