LlamaIndex is the go-to framework when you need to connect LLMs to your own documents and data. It handles the full RAG pipeline: ingesting files through 300+ connectors, chunking and indexing them into vector stores, and querying with context. The API is refreshingly simple,five lines gets you from a folder of PDFs to a working Q&A system. It shines for document chatbots and knowledge retrieval over private data, with solid primitives for metadata filtering, chat history, and structured outputs. If you're building agents that need general tool use rather than document search, LangChain might be better, but for data-centric applications LlamaIndex is hard to beat. The 45k GitHub stars reflect real production use.

skills.sh installs
1K
GitHub stars
14.4K
last updated
Aug 21, 2026

Install

$ npx -y skills add orchestra-research/ai-research-skills --skill llamaindex --agent claude-code

Installs into .claude/skills of the current project.

Files

LlamaIndex - Data Framework for LLM Applications

The leading framework for connecting LLMs with your data.

When to use LlamaIndex

Use LlamaIndex when:

  • Building RAG (retrieval-augmented generation) applications
  • Need document question-answering over private data
  • Ingesting data from multiple sources (300+ connectors)
  • Creating knowledge bases for LLMs
  • Building chatbots with enterprise data
  • Need structured data extraction from documents

Metrics:

  • 45,100+ GitHub stars
  • 23,000+ repositories use LlamaIndex
  • 300+ data connectors (LlamaHub)
  • 1,715+ contributors
  • v0.14.7 (stable)

Use alternatives instead:

  • LangChain: More general-purpose, better for agents
  • Haystack: Production search pipelines
  • txtai: Lightweight semantic search
  • Chroma: Just need vector storage

Quick start

Installation

# Starter package (recommended)
pip install llama-index

# Or minimal core + specific integrations
pip install llama-index-core
pip install llama-index-llms-openai
pip install llama-index-embeddings-openai

5-line RAG example

from llama_index.core import VectorStoreIndex, SimpleDirectoryReader

Sponsors

Details

Repository
github.com/orchestra-research/ai-research-skills
Categories
AI & Agent Building, Data Science & ML
First seen
Jun 3, 2026

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