LlamaIndex examples

This folder contains examples demonstrating index structures and query engines with LlamaIndex.

Requirements

• Python 3.10+
• An OpenAI API key set as an environment variable (OPENAI_API_KEY)

Examples

• rag_basic/: Basic RAG implementation using indices and query engines.
• custom_prompts/: Overriding prompt templates for LlamaIndex tasks.
• conversational_memory/: Implementing persistent chat sessions.
• agent_with_tool/: Creating a ReAct-based agent with local tools.
• rag_agent_with_context_retrieval/: Advanced retrieval agent optimization.
• answer_context_evaluation/: Evaluating generated answers against source context.

Running the examples

Each example is in its own folder and contains a README.md with instructions on how to run it.