April 2024


  • You can now deploy serverless indexes in the eu-west-1 region of AWS.
  • Pinecone now supports an official Terraform integration to let you manage your Pinecone database using your Terraform configuration.


March 2024



  • Fixed a bug that caused inaccurate index fullness reporting for some pod-based indexes on GCP.


  • The Pinecone console has a new look and feel, with a brighter, minimalist design; reorganized menu items for quicker, more intuitive navigation; and easy access to recently viewed indexes in the sidebar.

  • When viewing the list of indexes in a project, you can now search indexes by index name; sort indexes alphabetically, by how recently they were viewed or created, or by status; and filter indexes by index type (serverless, pod-based, or starter).


  • Released versions 3.2.0, 3.2.1, and 3.2.2 of the Pinecone Python client.

    • v3.2.0 adds four optional configuration properties that enable the use of Pinecone via proxy.

    • v3.2.1 adds an optional source_tag that you can set when constructing a Pinecone client to help Pinecone associate API activity to the specified source. See the v3.2.1 release notes in GitHub for more details.

    • v3.2.2 fixes a minor issue introduced in v3.2.0 that resulted in a DeprecationWarning being incorrectly shown to users who are not passing in the deprecated openapi_config property. This warning can safely be ignored by anyone who is not preparing to upgrade.

  • Released versions 2.1.0 and 2.2.0 of the Pinecone Node.js client.

    • v2.1.0 adds support for listing the IDs of records in a serverless index. You can list all records or just those with a common ID prefix. Listing by common ID prefix is especially useful as part of managing RAG documents.

    • v2.2.0 adds an optional sourceTag that you can set when constructing a Pinecone client to help Pinecone associate API activity to the specified source.

    See the v2.1.0 and v2.2.0 release notes in GitHub for more details.

  • Released versions 0.4.0 and 0.4.1 of the Pinecone Go client.

    • v0.4.0 is a comprehensive re-write and adds support for all current Pinecone API operations.

    • v0.4.1 adds an optional SourceTag that you can set when constructing a Pinecone client to help Pinecone associate API activity to the specified source.

    See the v0.4.0 and v0.4.1 release notes in GitHub for more details.

    The Go client is under active development should be considered unstable. Before a 1.0 release, there are no guarantees of backward compatibility between minor versions.

  • Released version 0.8.1 of the Canopy SDK. This version includes bug fixes, the removal of an unused field for Cohere chat calls, and added guidance on creating a knowledge base with a specified record encoder when using the core libary. See the v0.8.1 release notes in GitHub for more details.


February 2024


  • It is now possible to convert a pod-based starter index to a serverless index. For organizations on the Starter plan, this requires upgrading to Standard or Enterprise; however, upgrading comes with $100 in serverless credits, which will cover the cost of a converted index for some time.



January 2024


The new Pinecone API gives you the same great vector database but with a drastically improved developer experience. The most significant improvements include:

  • Serverless indexes: With serverless indexes, you don’t configure or manage compute and storage resources. You just load your data and your indexes scale automatically based on usage. Likewise, you don’t pay for dedicated resources that may sometimes lay idle. Instead, the pricing model for serverless indexes is consumption-based: You pay only for the amount of data stored and operations performed, with no minimums.

Serverless indexes are in public preview and are available only on AWS in the us-west-2, us-east-1, and eu-west-1 regions. Check current limits and restrictions and test thoroughly before using them in production.

  • Multi-region projects: Instead of choosing a cloud region for an entire project, you now choose a region for each index in a project. This makes it possible to consolidate related indexes in the same project, even when they are hosted in different regions.
  • Global URL for control plane operations: Control plane operations like create_index, describe_index, and list_indexes now use a single global URL, https://api.pinecone.io, regardless of the cloud environment where an index is hosted. This simplifies the experience compared to the legacy API, where each environment has a unique URL.


  • The latest versions of Pinecone’s Python client (v3.0.0) and Node.js client (v2.0.0) support the new API mentioned above. To use the new API, existing users must upgrade to the new client versions and adapt some code. For guidance, see the Python client v3 migration guide and Node.js client v2 migration guide.
  • The latest version of the Canopy SDK (v0.6.0) adds support for the new API mentioned above as well as namespaces, LLMs that do not have function calling functionality for query generation, and more. See the release notes in GitHub for more details.


  • The Pinecone documentation is now versioned. The default “latest” version reflects the new Pinecone API mentioned above. The “legacy” version reflects the previous API, which requires regional URLs for control plane operations and does not support serverless indexes.

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