Deeplake

What is Deeplake?

Database for AI data that keeps vectors with images, video and text, plus search and versioning.

Who is Deeplake best for?

Deeplake is best for ML and AI engineers who keep embeddings next to images, video and text and need search and dataset versions.

• RAG over mixed media

  It stores embeddings next to the raw images, audio, video, PDFs and text, with vector search and LangChain and LlamaIndex integrations.

• Training data pipelines

  Built-in dataloaders stream data to PyTorch and TensorFlow without downloading the whole dataset first.

• Versioned datasets

  Datasets carry version control and lineage, so a team can trace which data went into which model.

• SQL with vectors

  The pg_deeplake extension adds vector, BM25 full-text and hybrid search to PostgreSQL tables.

How much does Deeplake cost?

Deeplake's open source library and Postgres extension are free to run on your own storage; Activeloop's managed cloud bills GPU compute and storage monthly and lists no public rates.

Activeloop's managed Deeplake cloud sends one monthly bill for GPU compute, counted in GPU-Units per hour (1 GPU-Unit is 4 GB of VRAM), and storage per TB; the pricing page does not list the rates. Enterprise deployments can run in your own VPC on AWS, GCP or Azure. Full pricing on deeplake.ai. We checked these prices on 8 Nov 2026.

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Is Deeplake open source?

Yes. Deeplake's code is public under the Apache 2.0 licence, so you can run it on your own server.

What are the best Deeplake alternatives?

Deeplake is an open source alternative to Pinecone. Qdrant, Milvus, Supavec and HelixDB do the same job and are open source too.

PineconeFree

Managed vector database for search, RAG and agents.

QdrantOpen Source

Open-source vector search with real-time indexing.

MilvusOpen Source

Vector database for RAG and semantic search that runs on a laptop, a server or a Kubernetes cluster.

SupavecOpen Source

Open-source RAG for your own data.

HelixDBOpen Source

Graph database with built-in vector and full-text search, made for AI agent memory and retrieval.

Questions about Deeplake