LlamaIndex

Active

GitHub Python MIT

Description

Data framework for LLM apps specializing in RAG and agent data integration.

Key Features

Data connectors — 120+ loaders
Index abstractions — Vector, list, keyword, tree
Query engine — Natural language to structured queries
Agent tools — Wrap retrieval as agent-callable tools
Observability — Pluggable instrumentation for retrieval and generation

Use Cases

💡 Build RAG over private documents.

💡 Connect structured databases to LLMs for NL2SQL.

💡 Provide agents with retrieval/summarization sub-skills.

Quick Start

# Install
pip install llama-index llama-index-embeddings-openai
from llama_index.core import SimpleDirectoryReader
docs = SimpleDirectoryReader('data').load_data()

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