50+ Connectors for Enterprise RAG: SharePoint, Confluence, Google Drive, and More

Retrieval-augmented generation (RAG) solutions depend on robust connectors to ingest and index enterprise knowledge at scale. Selecting the right connectors impacts data freshness, searchability, and AI response relevance. This listicle catalogs over 50 ingestion source connectors ranked by availability across popular RAG platforms and enterprise knowledge management tools.

Collaboration Platforms

Collaboration platforms house significant organizational knowledge and project documentation. Integrating them into RAG pipelines enables AI access to internal conversations, project files, and wiki content.

• Microsoft SharePoint (Online & On-Premises)
• Atlassian Confluence Cloud & Server
• Slack
• Microsoft Teams
• Jira
• Google Chat
• Dropbox Paper

Cloud Storage Services

Cloud storage services are primary depositaries of documents and spreadsheets in enterprises. Connectors to these services facilitate inclusion of unstructured and semi-structured data in RAG indexes.

• Google Drive
• Microsoft OneDrive
• Dropbox
• Box
• Amazon S3
• SharePoint Document Libraries
• Egnyte

Enterprise Content Management Systems

Enterprise content management systems store regulated and mission-critical documents. Their connectors ensure compliance and full enterprise data coverage.

• OpenText Content Suite
• Alfresco
• Documentum
• Nuxeo
• Hyland OnBase
• Oracle WebCenter Content

Knowledge Bases & Wikis

Knowledge bases and wikis are core sources of structured and semi-structured data, useful for answering common questions and technical documentation.

• Zendesk Guide
• Freshdesk Knowledge Base
• Confluence
• Guru
• Document360
• MediaWiki

Database and Data Warehouse Connectors

For enterprises embedding RAG over archival and operational data, database connectors allow ingesting structured data and logs.

• Microsoft SQL Server
• Oracle Database
• PostgreSQL
• MySQL
• Snowflake Data Warehouse
• Google BigQuery
• Amazon Redshift

Email and Messaging Systems

Email and messaging platforms provide conversational context and historical communication reference for RAG applications in customer support and sales.

• Microsoft Exchange Online (OWA/Outlook 365)
• Google Workspace Gmail
• Slack
• Twilio SMS
• Cisco Webex Teams
• Salesforce Inbox

Code Repositories and Developer Tools

Developer documentation and codebases are necessary for AI assistants supporting engineering workflows.

• GitHub
• GitLab
• Bitbucket
• Jenkins
• Jira (for issue tracking)

CRM and ERP Systems

Integrating customer relationship management (CRM) and enterprise resource planning (ERP) systems provides transactional and client data context.

• Salesforce
• Microsoft Dynamics 365
• SAP ERP
• Oracle ERP Cloud
• ServiceNow

Specialized Industry Platforms

Certain industries depend on specific content platforms whose connectors expand RAG applicability.

• Veeva Vault (Life Sciences)
• BuiltWith (Real Estate Data)
• Marketo (Marketing Automation)
• Workday (HR Management)
• Tableau (BI Reports)

Document and File Types Supported

Many connectors support ingestion of common enterprise document formats including Microsoft Office (Word, Excel, PowerPoint), PDFs, HTML, Markdown, and plain text. Some platforms add optical character recognition (OCR) capabilities to extract text from scanned documents.

Choosing Connectors for Your RAG Architecture

Selecting connectors depends on factors including data volume, update frequency, security protocols, and content type complexity. Connectors for cloud services like Google Drive and SharePoint tend to offer APIs with rich metadata extraction and incremental sync. Enterprise content management connectors often require on-premises agents. For conversational AI use cases, email and messaging connectors ensure continuity of dialogue context.

Vendor platforms such as Pinecone, Weaviate, and Databricks offer broad native connector libraries exceeding 50 sources by default. Enterprises often augment these with custom connectors or low-code integration tools to cover proprietary or legacy systems.

Summary Checklist