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LlamaIndex Framework
Component Guides
Supporting Modules

Supporting Modules

We have two configuration modules that can be configured separately and passed to individual indexes, or set globally.

  • The Settings includes the LLM you’re using, the embedding model, your node parser, your callback manager and more.
  • The StorageContext lets you specify where and how to store your documents, your vector embeddings, and your indexes. To learn more, read about customizing storage
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 β€” e.g. https://developers.llamaindex.ai/llamaparse/parse/getting_started/index.md - Agent-friendly REST search APIs live under https://developers.llamaindex.ai/api/ β€” 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/