description
Using Deep Lake for Vector Store in RAG applications.

RAG

Deep Lake as a Vector Store for LLM Applications

Store and search embeddings and their metadata including text, jsons, images, audio, video, and more. Save the data locally, in your cloud, or on Deep Lake storage.
Build Retrieval Augmented Generation (RAG) Apps using our integrations with LangChain and LlamaIndex
Run computations locally or on our Managed Tensor Database