Activeloop References Capped?

Access even more references from these marketplace competitors

  • 4.8 / 5.0 (809)
    53+ References
  • 4.8 / 5.0 (621)
    48+ References
  • 4.8 / 5.0 (482)
    10+ References

Activeloop Testimonials

  • “A 100x speedup of Tensor Query execution for semantic search and question answering on legal documents. Deep Lake’s minimalistic architecture provided flexibility and light touch installation for our customers without introducing complexity such as adding a microservice. With Deep Lake’s ultrafast data loader, PyTorch was able to natively access the …

  • “Downloading data every time you run an experiment is bound to break you and the training process. Deep Lake's on-the-fly streaming was an excellent choice for us: it was really easy to set up, and it started to bring the value from day one.”

  • currently locked
  • Pinecone
    Reference Rating
    4.8 / 5.0
    Customer References 53 total
    About

    Pinecone is a fully managed vector database that makes it easy to add vector search to production applications. It combines state-of-the-art vector search libraries, advanced features such as filtering, and …

  • Weaviate
    Reference Rating
    4.8 / 5.0
    Customer References 48 total
    About

    Weaviate is a cloud-native, real-time vector database that allows you to bring your machine-learning models to scale. There are extensions for specific use cases, such as semantic search, plugins to …

  • LanceDB
    Reference Rating
    4.8 / 5.0
    Customer References 10 total
    About

    LanceDB is a developer-friendly, open source database for multimodal AI. From hyper scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large scale …

  • currently locked
  • currently locked
  • currently locked
  • currently locked
  • currently locked
  • currently locked
  • currently locked
  • currently locked