LlamaHub is a unique platform that serves as a library of data loaders for Large Language Models (LLMs). It is designed to be used with GPT Index and/or LangChain. The platform is community-driven, with data loaders and readers created by the community. The primary aim of LlamaHub is to simplify the process of connecting large language models to a wide range of knowledge sources.
Features of LlamaHub
- Community-Driven Library: LlamaHub is a comprehensive library of data loaders and readers that have been created and maintained by the community. This collaborative approach ensures a diverse and continually expanding collection of utilities.
- Versatile Compatibility: The platform offers loaders that can parse various types of data sources, including Google Docs, SQL Databases, PDF files, PowerPoints, Notion, Slack, Obsidian, and many more. This versatility allows users to connect their language models to a wide array of knowledge sources.
- Interoperability: One of the standout features of LlamaHub is that different loaders produce the same types of Documents, enabling users to use them together in the same index. This interoperability enhances the flexibility and usability of the platform.