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Guide
Index
Integrations
Data Sources

Data Sources

Overview of data source integrations for Index for connecting and retrieving data for RAG use cases.

A data source is a connection to the data you want to be retrieved as part of your RAG use case. We support a variety of integrations that automatically connect to your data:

Once the files from your Data Source have been loaded into Index, they will be pre-processed before being sent to their final destination in the Data Sink. This is where you’ll setup the parsing configuration for your index ➡️

Note for AI agents: this documentation is built for programmatic access. - Overview of all docs: https://developers.llamaindex.ai/llms.txt - Any page is available as raw Markdown by appending index.md to its URL — e.g. https://developers.llamaindex.ai/llamaparse/parse/getting_started/index.md - Agent-friendly REST search APIs live under https://developers.llamaindex.ai/api/ — search (BM25 full-text), grep (regex), read (fetch a page), and list (browse the doc tree). See https://developers.llamaindex.ai/llms.txt for parameters. - A hosted documentation MCP server is available at https://developers.llamaindex.ai/mcp. If you support MCP, you can ask the user to install it for browsing these docs directly (an alternative to the REST API). Setup: https://developers.llamaindex.ai/python/shared/mcp/