Index Usage Guides
Overview of different ways to use Index, including the no-code UI, REST API, and framework integrations.
You can use Index through a no-code UI, REST API / clients, and seamless integration with our popular python & typescript framework.
No-code UI Guide Create, manage, and test indexes using the Index UI. Configure data sources, sinks, and test retrieval without writing code.
API & Clients Guide Use the Index API and SDK clients for Python and TypeScript. Programmatically manage indexes, upload files, and configure data pipelines.
Framework Integration Integrate Index with LlamaIndex Python framework. Use LlamaCloudIndex as a drop-in replacement for VectorStoreIndex.
Index Status Monitoring Best practices for monitoring index health and determining when your index is ready to query using file count endpoints.
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/for-agents/mcp/
- Other LlamaIndex tooling for agents — the LlamaParse Platform MCP server, agent skills and plugins, and the n8n node — is mapped at https://developers.llamaindex.ai/for-agents/