Activeloop Deep Lake is a data lake for Deep Learning applications, allowing you to use itas a vector store.

Why Deep Lake?​

• More than just a (multi-modal) vector store. You can later use the dataset to fine-tune your own LLM models.
• Not only stores embeddings, but also the original data with automatic version control.
• Truly serverless. Doesn't require another service and can be used with major cloud providers (AWS S3,GCS, etc.)

Activeloop Deep Lake supportsSelfQuery Retrieval:Activeloop Deep Lake Self Query Retrieval

More Resources​

1. Ultimate Guide to LangChain & Deep Lake: Build ChatGPT to Answer Questions on Your Financial Data
2. Twitter the-algorithm codebase analysis with Deep Lake
3. Here iswhitepaper andacademic paper for Deep Lake
4. Here is a set of additional resources available for review:Deep Lake,Get started and Tutorials

Installation and Setup​

Install the Python package:

pip install deeplake

VectorStore​

from langchain_community.vectorstoresimport DeepLake

See ausage example.