---
slug: "llamaindex"
name: "LlamaIndex"
effect: "Connects LLM agents to your data with connectors, indexes, query engines and event-driven workflows"
category: "agent-framework"
tier: "standard"
url: "https://developers.llamaindex.ai/python/framework/"
github: "run-llama/llama_index"
pricing: "open-source"
license: "MIT"
tags: ["python", "rag", "data-connectors", "workflows", "integrations"]
platforms: []
install_kind: "pip"
date_added: "2026-10-14"
rank: null
rising_score: 31
stars: 52501
star_velocity: 36.4
velocity_basis: "since creation"
created_at: "2022-11-02T04:24:54Z"
pushed_at: "2026-10-14T15:29:28Z"
signals_status: "ok"
signals_fetched_at: "2026-10-15T05:02:44.877Z"
page: "https://agenttooldrop.com/tools/llamaindex"
---

# LlamaIndex

Connects LLM agents to your data with connectors, indexes, query engines and event-driven workflows

Category: Agent frameworks. Tier: standard (a well-known tool, listed for reference, not ranked). Pricing: Open source. License: MIT.

## Why you would want it

The LlamaIndex framework is a Python toolkit for context augmentation: data connectors ingest APIs, PDFs, docs and SQL, indexes structure the data, and query and chat engines retrieve context for the model. Agents can call a RAG pipeline as one tool among many, and Workflows add event-driven, multi-step processes with branching, retries and human-in-the-loop review. You can start with the llama-index starter package or install llama-index-core plus only the integrations you need from over 300 packages.

## Best for

- RAG over private documents
- Agents that query your own data
- Pairing with LlamaParse for hard documents

## Use it when

Your agent's main job is answering questions or taking actions over your own documents and data sources.

## Skip it if

You want a framework that is its maintainer's main focus: the README says the company's primary focus has shifted to LlamaParse, while the OSS framework stays available.

## Editor note

The README says LlamaIndex has shifted its primary focus to the LlamaParse platform; the open-source framework remains available.

## Install

Install with pip:

```sh
pip install llama-index
```

Source: https://developers.llamaindex.ai/python/framework/getting_started/installation/

## Live signals

Fetched 2026-10-15T05:02:44.877Z (status: ok).

- Repository: run-llama/llama_index
- Repository created: 2022-11-02
- Stars: 52,501 (GitHub's count; it cannot be authenticated)
- Stars per day, since repo creation: 36.4 (an average over the repo's life, not a growth rate)
- Forks: 8,341
- Open issues and PRs: 929
- License (GitHub): MIT
- Last push: 2026-10-14
- Latest release: v0.14.25 (2026-09-21)

## Links

- Website: https://developers.llamaindex.ai/python/framework/
- GitHub: https://github.com/run-llama/llama_index
- Install instructions verified at: https://developers.llamaindex.ai/python/framework/getting_started/installation/
- Source for this entry: https://github.com/run-llama/llama_index#readme
- AgentToolDrop page: https://agenttooldrop.com/tools/llamaindex
- Full catalog (JSON): https://agenttooldrop.com/tools.json