Software Alternatives, Accelerators & Startups

Top 6 Custom Search Engine Products in Vector Databases

The best Custom Search Engine Products within the Vector Databases category - based on our collection of reviews & verified products.

Milvus Qdrant Pinecone Weaviate pgvecto.rs Annoy

Summary

The top products on this list are Milvus, Qdrant, and Pinecone. All products here are categorized as: Tools for creating and using customized search engines. Vector Databases. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.
  1. 1
    Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
    Pricing:
    • Open Source
    • Free

    #Databases #Search Engine #Custom Search Engine 38 social mentions

  2. 2
    Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
    Pricing:
    • Open Source
    • Freemium
    • Free Trial

    #Databases #Machine Learning #Search Engine 58 social mentions

  3. Search through billions of items for similar matches to any object, in milliseconds. It’s the next generation of search, an API call away.
    Pricing:
    • Open Source

    #Databases #Search Engine #Knowledge Search

  4. Welcome to Weaviate

    #Search Engine #Custom Search #Custom Search Engine 38 social mentions

  5. Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database. - tensorchord/pgvecto.rs

    #Search Engine #PostgreSQL As A Service #Postgres Tools 2 social mentions

  6. 6
    Annoy is a C++ library with Python bindings to search for points in space that are close to a given query point.

    #Databases #Search Engine #Custom Search Engine 35 social mentions

Related categories

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