llama-hub

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

open-sourceagent-frameworks
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Overview

LlamaHub was a community-driven library of data loaders, readers, tools, and packs designed to connect large language models to various knowledge sources. Created by Jesse Zhang and later donated to LlamaIndex, it served as a centralized repository for integrations with LlamaIndex and LangChain. The library enabled easy data ingestion from sources like Google Docs, SQL databases, Notion, Slack, Gmail, and Google Calendar, allowing developers to build customized data agents. However, the repository has been archived and is now read-only. With the launch of LlamaIndex v0.10, all integrations have been migrated to the core llama-index Python repository. While LlamaHub accumulated 3,475 GitHub stars and provided a valuable service to the LLM community, users should now access these integrations directly through the main LlamaIndex repository. The llamahub.ai website continues to exist as a browsable directory pointing to integrations available in the updated location.

Pros

  • + Extensive community-contributed collection of data loaders and integrations for popular LLM frameworks
  • + Simplified data ingestion with ready-to-use connectors for major platforms like Google Workspace, Notion, and Slack
  • + Well-documented examples and Jupyter notebooks demonstrating real-world data agent implementations

Cons

  • - Repository is archived and read-only, with no new development or maintenance
  • - All functionality has been migrated to the main llama-index repository, making this version obsolete
  • - Installation may be deprecated as the PyPI package redirects users to the updated implementation

Use Cases

Getting Started

Install via pip install llama-hub (though deprecated), import specific loaders like GoogleDocsReader, then use loader.load_data() to ingest documents into LlamaIndex or LangChain workflows