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Learn by example! This section provides complete, working examples demonstrating key LlamaIndex.TS capabilities.

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Available Examples

Basic RAG

Build a simple RAG application with vector indexing and querying

Basic Agent

Create an AI agent with tool calling capabilities

Workflow Basics

Build event-driven workflows with state management

Multimodal

Work with images, text, and vision models

Next.js Integration

Integrate LlamaIndex.TS with Next.js applications

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Quick Start

All examples can be run directly with tsx: 
# Set your API key
export OPENAI_API_KEY="sk-..."

# Run any example
npx tsx example.ts

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Example Categories

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RAG (Retrieval-Augmented Generation)

Learn how to build applications that combine document retrieval with LLM generation:
  • Vector indexing and embeddings
  • Query engines and chat engines
  • Document processing and chunking
  • Metadata extraction and filtering

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Agents

Build intelligent agents that can use tools and reason about tasks:
  • Tool calling and function execution
  • Multi-agent coordination
  • Memory management
  • Provider-specific implementations

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Workflows

Create event-driven workflows for complex multi-step processes:
  • State management
  • Event handling
  • Iterative refinement
  • Custom workflow patterns

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Multimodal

Work with multiple data modalities:
  • Image analysis and understanding
  • Vision-language models
  • Multimodal RAG
  • CLIP embeddings

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Framework Integrations

Integrate with popular frameworks:
  • Next.js (Node.js and Edge Runtime)
  • Server actions and API routes
  • Cloudflare Workers
  • Vite and other bundlers

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GitHub Repository

Find all examples in the GitHub repository:

LlamaIndex.TS Examples

Browse the complete collection of examples on GitHub

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Additional Resources

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Environment Setup

Most examples require API keys for LLM providers: 
# OpenAI
export OPENAI_API_KEY="sk-..."

# Anthropic
export ANTHROPIC_API_KEY="sk-ant-..."

# Other providers as needed
export GROQ_API_KEY="..."
export MISTRAL_API_KEY="..."

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Running Examples

Examples are organized by category in the repository: 
# Clone the repository
git clone https://github.com/run-llama/LlamaIndexTS.git
cd LlamaIndexTS/packages/llamaindex/examples

# Run an example
npx tsx rag/starter.ts
npx tsx agents/agent/single-agent.ts
npx tsx multimodal/chat.ts
All examples use TypeScript and can be executed directly with tsx without compilation.