LlamaIndex (RAG Framework)

LlamaIndex is the preferred framework for building RAG applications. Its key advantage lies in its 300+ data connectors, which allow documents to be loaded from various sources such as PDFs, Word files, databases, APIs, Slack, Notion, and web pages. It supports 40+ vector libraries, offering a full range of retrieval strategies from basic to advanced. The platform also provides LlamaParse for professional document parsing. It works well in conjunction with LangChain. It is suitable for any scenario where AI needs to understand private data.