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  • 4.8 / 5.0 (966)
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    48+ References
  • 4.8 / 5.0 (351)
    37+ References

LanceDB Testimonials

  • “LanceDB made it so much easier for us to develop and manage our dozens of different kinds of embeddings. It works out of the box with all of our familiar tools like pandas or Spark, and it stores data directly on S3. The best part is the simplicity - it’s …

  • “Thanks for all the work that you do! When I found LanceDB it was exactly what we needed, and has played its role perfectly since then.”

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  • 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 …

  • Qdrant
    Reference Rating
    4.8 / 5.0
    Customer References 37 total
    About

    Qdrant is an open-source vector search engine. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be …

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