Activeloop Deep Lake

Activeloop Deep Lake is a data lake for Deep Learning applications, allowing you to use it as 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 supports SelfQuery 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 is whitepaper and academic 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.vectorstores import DeepLake

API Reference:

• DeepLake

See a usage example.