> ## Documentation Index > Fetch the complete documentation index at: https://docs.contextual.ai/llms.txt > Use this file to discover all available pages before exploring further. # Overview > Connecting your data to Contextual AI Contextual AI data connectors enable you to seamlessly integrate data from third-party sources. Key features include: * **Full ingestion and indexing** - Data is ingested and indexed through our advanced pipeline, ensuring optimal performance and speed compared to live search. * [Entitlements enforcement](#using-your-connector-with-entitlements-enforcement) - Permissions from your upstream data sources are automatically synced and enforced within the Contextual platform. Users without access to a document cannot see it in the Datastore or query against it. * [Auto and manual syncing](#auto--manual-syncing) - Data updates are synced every 3 hours, while permissions are refreshed every hour to maintain freshness. You can also trigger a manual sync at any time to capture changes. * **Folder-level selection** - Sync only the folders you need. ### Supported Data Sources Contextual AI currently supports the following data sources: * [Box:](box) PDF files, Word documents, PowerPoint presentations, Markdown files, plain text files * [Confluence:](confluence) PDF files, Word documents, PowerPoint presentations, Markdown files, plain text files * [Google Drive:](google-drive) Google Docs, Google Slides, PDF files, Word documents, PowerPoint presentations, Markdown files, plain text files * [OneDrive:](microsoft-onedrive) PDF files, Word documents, PowerPoint presentations, Markdown files, plain text files * [Sharepoint:](microsoft-sharepoint) PDF files, Word documents, PowerPoint presentations, Markdown files, plain text files **Coming Soon:** Support for Dropbox and Salesforce

Please email [connectors@contextual.ai](mailto:connectors@contextual.ai) for connector-related questions or feedback.