Use Cases
LlamaIndex offers powerful capabilities for a wide range of AI applications. Explore the following use cases to learn how to leverage LlamaIndex for your specific needs:
- Prompting - Learn advanced prompting techniques with LlamaIndex
- Question-Answering (RAG) - Build retrieval-augmented generation systems
- Chatbots - Create conversational AI applications
- Structured Data Extraction - Extract structured information from unstructured text
- Agents - Develop autonomous AI agents
- Multi-Modal Applications - Work with text, images, and other data types
- Fine-Tuning - Customize models for your specific use cases
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/