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llama-hub

run-llama/llama-hub

A library of data loaders for LLMs made by the community

GitHub Website

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

40views this month

3.5k stars721 forksLast push Mar 1, 2024 Jupyter Notebook MIT

Decision brief

community-driven data loaders for LlamaIndex/LangChain

Good fit when

Community-specific features require engagement with community
Integrates seamlessly with LlamaIndex or LangChain

Avoid when

Limited support if the community lacks activity
Not suitable without familiarity with Poetry for dependency management

Observed Jul 12, 2026 · Source: enrich:decision_facts

llama-hub alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Archived (920d since push); As of Sep 8, 2026
Provenance: Not a fork · Organization account; As of Sep 8, 2026
Security (OSV): 121 low (121 low); As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Backing

Company context for LlamaIndex. Display-only - separate from trust and ranking.

Company: LlamaIndex·GitHub org profile·Jul 11, 2026
Funding: $19,000,000 (2024-02)·GraphCanon curated seed (public press)·Jul 11, 2026
Commercial model: Open core·GraphCanon curated seed·Jul 11, 2026

Install

git clone https://github.com/run-llama/llama-hub

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Provides a collection of data loaders to be used with LlamaIndex and/or LangChain.

Capability facts

Languages: jupyter notebook, python
Source: github.language+pyproject.toml · Sep 8, 2026

Graph entities

LlamaIndexcompany

Compatibility

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

Python runtimePython

Source: README excerpt (regex_v1, Sep 8, 2026)

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

Source link

README

Installation download and install dependencies LlavaCompletionPack = download llama pack( "LlavaCompletionPack", "./llava pack" ) bash python m venv .venv source .venv/bin/activate bash .venv\scripts\activate bash pip install poetry bash poetry install `` llama hub` in your venv.

For agents

This page has a .md twin and JSON over the API.

/tools/run-llama-llama-hub.md GET /api/graphcanon/tools/run-llama-llama-hub GET /api/graphcanon/graph?tool=run-llama-llama-hub