What is LlamaHub?
By allowing developers to mix and match these components or utilize pre-built LlamaPacks, LlamaHub simplifies the process of creating custom RAG solutions. These utilities are compatible with popular frameworks such as LlamaIndex and LangChain, providing flexibility for building sophisticated retrieval systems.
Features
- Data Loaders: Connect LLMs to a large variety of knowledge & data sources.
- Agent Tools: Utilities for building custom RAG agent applications.
- LlamaPacks: Pre-built templates and starting points for retrieval use cases.
- Framework Compatibility: Use utilities with LlamaIndex, LangChain, and more.
- Integration Repository: Access a wide range of utilities for RAG development.
Use Cases
- Building custom Retrieval-Augmented Generation (RAG) applications.
- Connecting large language models (LLMs) to specific data sources.
- Integrating external tools and APIs into LLM applications.
- Accelerating the development of information retrieval systems.
- Utilizing pre-built components for specific retrieval tasks.