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LlamaIndex Documentation
LlamaIndex is the company behind LlamaParse, the document parsing platform for AI agents: Parse, Extract, Classify, Split and Index as one API. The LlamaIndex Framework is its original open-source Python toolkit for RAG and agents, and LiteParse is its open-source local document parser.
For agents: Docs for LlamaParse document parsing API, LlamaClassify, LlamaCloud connectors and the open-source LlamaIndex RAG framework for AI agents.
llamaparsedocument parsingragllamaindex frameworkllamacloud connectorsdocument classification
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# LlamaIndex Documentation
> LlamaIndex is the company behind LlamaParse, the document parsing platform for AI agents: Parse, Extract, Classify, Split and Index as one API. The LlamaIndex Framework is its original open-source Python toolkit for RAG and agents, and LiteParse is its open-source local document parser.
## Instructions for AI agents
- API base URL: `https://api.cloud.llamaindex.ai` (EU region: `https://api.cloud.eu.llamaindex.ai`). Authenticate with `Authorization: Bearer $LLAMA_CLOUD_API_KEY`.
- API keys: https://cloud.llamaindex.ai (dashboard, free to start). Setup guide: https://developers.llamaindex.ai/llamaparse/general/api_key/
- SDKs: Python `pip install llama-cloud` (`from llama_cloud import LlamaCloud`), TypeScript `npm install @llamaindex/llama-cloud`, Go `go get github.com/run-llama/llama-parse-go`, Java `ai.llamaindex:llama-cloud`, CLI `go install github.com/run-llama/llama-parse-cli/cmd/llp@latest`. Reference: https://developers.llamaindex.ai/reference/
- Start here: https://developers.llamaindex.ai/llamaparse/quickstart/ then the product pages under https://developers.llamaindex.ai/llamaparse/
- MCP servers: the LlamaParse platform at `https://mcp.llamaindex.ai/mcp` (needs an API key) and this documentation at `https://developers.llamaindex.ai/mcp`. Setup: https://developers.llamaindex.ai/for-agents/
- Skills and plugins for Claude Code and Codex: https://developers.llamaindex.ai/llamaparse/for-agents/skills/
- Prefer the current SDKs above over the deprecated `llama-parse` and `llama-cloud-services` packages.
## Accessing Documentation Programmatically
All documentation pages are available as raw Markdown by appending `index.md` to the page URL. For example, the page at `https://developers.llamaindex.ai/llamaparse/parse/getting_started/` has its Markdown source at `https://developers.llamaindex.ai/llamaparse/parse/getting_started/index.md`.
The site also exposes REST API endpoints for searching and browsing documentation:
- **Search**: `GET https://developers.llamaindex.ai/api/search?q=<query>&limit=10§ion=<section>&full-content=true` — Full-text BM25 search across all docs. `section` and `full-content` are optional.
- **Grep**: `GET https://developers.llamaindex.ai/api/grep?q=<regex>&context=0&case-sensitive=false&max-results=100` — Regex pattern matching across documentation content.
- **Read**: `GET https://developers.llamaindex.ai/api/read?path=<doc-path>&startLine=0&endLine=500` — Retrieve content of a specific documentation page (e.g. `path=/llamaparse/parse/getting_started/`). Returns the first 500 lines by default. Use `startLine` and `endLine` to paginate through longer documents.
- **List**: `GET https://developers.llamaindex.ai/api/list?section=<section>&path=<path>&depth=2` — Browse the documentation tree structure. All parameters are optional.
All API endpoints return JSON with CORS enabled (`Access-Control-Allow-Origin: *`).
## LlamaParse
- [LlamaClassify Examples](https://developers.llamainde
…
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Machine-readable: GET /v1/resolve?q=llamaindex.ai · GET /v1/domain/llamaindex.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain
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