Full-Stack Web Application
LlamaIndex can be integrated into a downstream full-stack web application. It can be used in a backend server (such as Flask), packaged into a Docker container, and/or directly used in a framework such as Streamlit or CopilotKit.
We provide tutorials and resources to help you get started in this area:
- Fullstack Application Guide shows you how to build an app with LlamaIndex as an API and a TypeScript+React frontend
- Fullstack Application with Delphic walks you through using LlamaIndex with a production-ready web app starter template called Delphic.
- The LlamaIndex Starter Pack provides very basic flask, Streamlit, and Docker examples for LlamaIndex.
- CopilotKit + LlamaIndex: CopilotKit is the Agentic Application Framework, an open source framework and hosted service for AI-assisted applications.
- CopilotKit LlamaIndex Quickstart: A guide for how to turn your LlamaIndex Agents into an agent-native application in 10 minutes.
- CopilotKit <> LlamaIndex Starter: This is a starter template for building AI agents using LlamaIndex and CopilotKit. It provides a modern Next.js application with an integrated investment analyst agent that can research stocks, analyze market data, and provide investment insights.
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/