For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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AI Entity Extraction (beta)

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Bring Your Own Custom Data Sources

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AI Entity Extraction allows you to specify a predetermined set of values for a field in a Collection Schema, 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) on these entities just by asking questions to your agent.

Contact our Credal team support@credal.ai for help setting up AI Entity Extraction.