Vector Store Tutorials

Using Deep Lake as a Vector Store for LLM applications

How to use Deep Lake as a Vector Store for LLM applications

Deep Lake can be used as a Vector Storing for storing embeddings and their metadata including text, jsons, images, audio, video, and more. Its serverless architecture can be self-hosted, and it is also available via fully managed service.

Vector Store Tutorials:

Deep Lake Vector Store in LangChainVector Search Using the Deep Lake Tensor Database