Cookbook
Hands-on LlamaCloud recipes for turning documents into production pipelines.
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Verify SAP vendor master data against supplier documents Enterprise Rollout Build your first agent workflow Multi-agent workflows with handoffs ReAct agent over your documents Parse your first document Create your first extraction agent Index, search, and chat over your data Multimodal parsing and indexing Tour of the JobResult object Asset fund analysis with Extract
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Looking for more? The llama_cloud_services examples repo has additional notebooks for Parse, Extract, and 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/