Using LangFlow with Vectara
Integrate the full power of end-to-end RAG in your LangFlow application, reducing complexity and supporting enterprise scale.
Learn about Vectara + LangFlowDetails
As a fully-managed enterprise RAG solution, Vectara provides a full platform for end-to-end RAG development including text extraction and chunking, a state of the art embedding model, a cross-lingual reranker, our own high-performance vector database, and a generative LLM.
Using Vectara in your LangFlow means your RAG just works - you don’t need to worry about which vector database to use, which LLM to use, or which embedding model to choose. Instead, focus on your application logic.
The integration supports:
- Supports data upload from previous nodes, or an integrated “add files” for direct file upload
- Node output can be used as vector store (for semantic search) or as a retriever
- Supports the full range of Vectara managed RAG - state of the art embedding model, multi-lingual reranker, hybrid search, and more.
