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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Faiss by Meta

    Score8 out of 10
    N/AFaiss (for Facebook AI Similarity Search) is a library for similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. It is free and…

    $0

    Pinecone

    Score9 out of 10
    N/APinecone 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 distributed infrastructure to provide high performance and reliability at any scale.

    $0.07

    per hour

    Pricing
    Faiss by MetaPinecone
    Editions & Modules
    No answers on this topic
    Enterprise
    $0.01
    per hour
    Offerings
    Pricing Offerings
    Faiss by MetaPinecone
    Free Trial
    NoNo
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Features
    Faiss by MetaPinecone
    Vector Database
    Comparison of Vector Database features of Faiss by Meta and Pinecone
    Feature
    Faiss by Meta
    -
    Ratings
    Pinecone
    7.5
    1 Ratings
    5% below category average
    Vector Data Connection00 Ratings10.01 Ratings
    Attribute Management00 Ratings10.01 Ratings
    Data Import/Export00 Ratings5.01 Ratings
    Data Sharing and Collaboration00 Ratings5.01 Ratings
    Best Alternatives
    Faiss by MetaPinecone
    Small Businesses
    Astra DB, now part of IBM watsonx.data
    Score9.1 out of 10
    Astra DB, now part of IBM watsonx.data
    Score9.1 out of 10
    Medium-sized Companies
    Astra DB, now part of IBM watsonx.data
    Score9.1 out of 10
    Astra DB, now part of IBM watsonx.data
    Score9.1 out of 10
    Enterprises
    No answers on this topic
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Faiss by MetaPinecone
    Likelihood to Recommend
    -
    (0 ratings)
    10.0
    (1 ratings)
    Usability
    -
    (0 ratings)
    9.0
    (1 ratings)
    User Testimonials
    Faiss by MetaPinecone
    Likelihood to Recommend
    Meta Platforms Inc
    No answers on this topic
    Pinecone
    Similarity search and ranking are fundamental capabilities, and Pinecone just has this nailed. Almost every application, especially those that talk to LLMs, can use this feature, and there is no reason to reinvent it or use anything more complicated or "full stack" than Pinecone. Pinecone is a powerful tool in this space.
    Incentivized
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    Pros
    Meta Platforms Inc
    No answers on this topic
    Pinecone
    • Adding a vector (of course) and we are able to add arbitrary metadata with it.
    • Similarity search, ranking and metadata retrieval.
    • The webui/console tools are nice when debugging/confirming something. Above-average tooling in this regard.
    Incentivized
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    Cons
    Meta Platforms Inc
    No answers on this topic
    Pinecone
    • Pinecone has come a long way (we have been using it for years). While the tooling used to have some rough edges, I can't really complain these days.
    • Migrating an entire database from one AWS zone to another basically required a full data dump and reload. That could be improved. I have not tried AWS=>GCP=>Azure replications/migrations, but suspect they are not yet well supported, and that would be helpful.
    Incentivized
    Read full review
    Usability
    Meta Platforms Inc
    No answers on this topic
    Pinecone
    It is lean and covers all the bases. I am sure there are one or two things that could be better, so 9 instead of 10.
    Incentivized
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    Alternatives Considered
    Meta Platforms Inc
    No answers on this topic
    Pinecone
    We selected Pinecone because they had much more startup-friendly pricing.
    Incentivized
    Read full review
    Return on Investment
    Meta Platforms Inc
    No answers on this topic
    Pinecone
    • When our product had a primitive search, we were lambasted by users, and we embraced Pinecone to fill an urgent need for something better. Over the years, it has become a wired-in foundation for more than a few product features.
    • The money we didn't spend creating and maintaining something "like" Pinecone has been one of our best investments.
    Incentivized
    Read full review
    ScreenShots

    Pinecone Screenshots

    Screenshot of Pinecone App