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llama-hub

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run-llama/llama-hub

A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain

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Last push
Jupyter Notebook MITCreated Feb 1, 2023

Trust & integrity

Full report
Maintenance
Archived (861d since push)
As of today · Source: github_public_v1
Provenance
Not a fork · Organization account
As of today · Source: github_public_v1
Security (OSV)
121 low (121 low)
As of today · Source: osv@v1

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Backing

Company and funding context for LlamaIndex. Display-only - not part of trust score or organic ranking.

Company
LlamaIndex·GitHub org profile·today
Funding
$19,000,000 (2024-02)·GraphCanon curated seed (public press)·today
Commercial model
Open core·GraphCanon curated seed·today

Overview

A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain

Capability facts

Languages
jupyter notebook, python

Source: github.language+pyproject.toml · Jul 11, 2026

Categories

Graph entities

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 11, 2026)

Create a new Python virtual environment. The command below creates an environment in `.venv`,
Source link

Tags

README

Installation

pip install llama-hub

download and install dependencies

LlavaCompletionPack = download_llama_pack( "LlavaCompletionPack", "./llava_pack" )


---

# download and install dependencies for benchmark dataset
rag_dataset, documents = download_llama_dataset(
  "PaulGrahamEssayDataset", "./data"
)

---

### Step 0: Setup virtual environment, install Poetry and dependencies

Create a new Python virtual environment. The command below creates an environment in `.venv`,
and activates it:
```bash
python -m venv .venv
source .venv/bin/activate

if you are in windows, use the following to activate your virtual environment:

.venv\scripts\activate

Install poetry:

pip install poetry

Install the required dependencies (this will also install llama_index):

poetry install

This will create an editable install of llama-hub in your venv.