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    Pinecone Vector Database - Annual Commit

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    Sold by: Pinecone 
    Pinecone is a fully managed serverless vector database that makes it easy to add vector search to production applications. The Pinecone Vector Database 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. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search.
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    Pinecone Vector Database - Annual Commit

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    Sold by: Pinecone 
    View purchase options

    Overview

    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 distributed infrastructure to provide high performance and reliability at any scale. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search.

    Usage-based Billing You will be billed at the end of the month for storage consumed. Pod usage is rounded up to 15-minute increments. More information can be found at https://www.pinecone.io/pricing/ 

    Annual Commitments Purchasing this product involves an annual commitment which allows you to purchase Pinecone with volume-based discounts. Please first reach out to your sales representative or https://www.pinecone.io/contact/  to discuss custom pricing and discounts before placing an order on this page.

    To get started without an annual commitment, please go to Pinecone's Pay As You Go product listing.

    Highlights

    • The Pinecone Vector Database provides fast, fresh, and filtered vector search: Ultra-low query latency, even with billions of items. Live index updates when you add, edit, or delete data. Combine vector search with metadata filters for more relevant and faster results.
    • Enterprise-grade security and compliance: SOC 2 Type II certified, GDPR-ready, and built to keep data from your Vector Database secure.
    • Fully managed and Easy to use: Get started with an easy-to-use API or the Python client. No need to maintain infrastructure, monitor services, or troubleshoot algorithms.

    Details

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    Pinecone 
    Categories
    Databases 
    Embeddings 
    Generative AI 
    Delivery method

    Pricing

    Pinecone Vector Database - Annual Commit

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    Pricing is based on contract duration. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for any usage exceeds the entitle amount or not covered in the contract. These charges will be applied on top of the contract price. If you choose not to renew or replace your contract before it ends, access to your entitlements will expire.

    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    Overage cost
    Commit
    Total Commitment Value
    $100,000.00

    Vendor refund policy

    Please contact us at support@pinecone.io 

    Custom pricing options

    Request private offer
    Find a fit for enterprise or unique needs with a private offer.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Resources

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    Documentation 

    Support

    Vendor support

    This is a fully managed service with technical support included with Standard and Enterprise plans. For more information regarding support SLAs, please see each plan's details on the pricing page. support@pinecone.io  support@pinecone.io 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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    Mohit G.

    ideal for machine learning, AI applications and similarity search

    Reviewed on Sep 12, 2024
    Review provided by G2
    What do you like best about the product?
    It is specialised in AI driven use cases with real time and low latency search giving seamless integration into machine learning workflows with scalable infrastruture optimized for unstructured and semi-structured data in AI applications.
    What do you dislike about the product?
    It has limited focus that is related only with the vector data with no major focus on Business intelligence in data transformation tool.
    Also it's use case is little complex with lack of ecosystem integration.
    What problems is the product solving and how is that benefiting you?
    It is solving the issue related with AI vector data generated from the app.
    Leave a comment0 comments
    Akhil G.

    God of creating embeddings

    Reviewed on Sep 11, 2024
    Review provided by G2
    What do you like best about the product?
    when iam creating embeddings,compared to other products,it feels hassle free& cheap.
    What do you dislike about the product?
    I am the beta tester of pinecone AI assiatant,it is not production ready so it feels like only for testing,i am expecting for the production ready version.
    What problems is the product solving and how is that benefiting you?
    hassle free functions and embeddings data sets
    Leave a comment0 comments
    Satwik L.

    Pinecone assistant beta user

    Reviewed on Sep 10, 2024
    Review provided by G2
    What do you like best about the product?
    I have been using pinecone for embeddings and it is cheaper and reliable compared to other embedding services.
    What do you dislike about the product?
    I dislike the overall feel which feels lightweighed for the product service documentation.

    I love to see pinecone assistant in deployable version because it is powerful yet it is in the beta version only for testing not for production
    What problems is the product solving and how is that benefiting you?
    Creating embeddings at ease without any big pricing.

    Good support from team.
    Leave a comment0 comments
    Carlos O.

    Solid option for vector DB

    Reviewed on Aug 28, 2024
    Review provided by G2
    What do you like best about the product?
    Easy to use. very reliable and fast. Competitive price
    What do you dislike about the product?
    Maybe some extra features would be nice, and some more clarity into its AKNN algo, which is hidden from the user
    What problems is the product solving and how is that benefiting you?
    Finding scientific documents in very large volumes of Data.
    Leave a comment0 comments
    Stephen C.

    Pinecone: The Backbone of Efficient Vector Search and Retrieval

    Reviewed on Aug 23, 2024
    Review provided by G2
    What do you like best about the product?
    Pinecone excels in providing a seamless, high-performance vector search experience. Its ease of use, combined with powerful features like real-time updates and scalability, makes it a go-to solution for managing complex vector data. The ability to effortlessly integrate with existing workflows and its top-notch customer support are definite highlights.
    What do you dislike about the product?
    While Pinecone is robust, the pricing can be a bit steep for smaller projects or startups. Additionally, more granular control over indexing options would enhance customization for advanced users. However, the benefits far outweigh these minor drawbacks.
    What problems is the product solving and how is that benefiting you?
    Pinecone is solving the complex challenge of efficient and scalable vector search. In an era where managing large volumes of high-dimensional data is critical, Pinecone's ability to index, search, and retrieve vectors quickly and accurately is a game-changer. For us, this means faster query responses, enhanced data retrieval accuracy, and the ability to focus on building better products rather than managing infrastructure. Pinecone's solution has drastically reduced the time and effort required to manage and search vector data, allowing our team to be more productive and innovative.
    Leave a comment0 comments
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