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  • 4.8 / 5.0 (865)
    53+ References
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    48+ References
  • 4.8 / 5.0 (262)
    37+ References

LanceDB Testimonials

  • “Having the right technology for AI retrieval at scale is critical to the success of Airtable's AI capabilities. The only embedded vector search solution available for TypeScript, LanceDB's open source solution made it easy for us to build scalable and distributed retrieval for RAG, helping us on our mission to …

  • “We looked through a variety of vector search solutions when building Shaped and Lance was the clear winner. We chose it because of how well it scaled in our multi-tenant architecture, the latency benefits for our real-time use-cases and the flexibility of the familiar DataFrame interface.”

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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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