Release notes
2024 releases
December 2024
Increased namespaces limit
Customers on the Standard plan can now have up to 25,000 namespaces per index.Pinecone Assistant JSON mode and EU region deployment
Pinecone Assistant can now return a JSON response.You can now create an assistant in the
eu region.Released Spark-Pinecone connector v1.2.0
Releasedv1.2.0 of the Spark-Pinecone connector. This version introduces support for stream upserts with structured streaming. This enhancement allows users to seamlessly stream data into Pinecone for upsert operations.Released Python SDK v5.4.2
Releasedv5.4.2 of the Pinecone Python SDK. This release adds a required keyword argument, metric, to the query_namespaces method. This change enables the SDK to merge results no matter how many results are returned.
Launch week: Pinecone Local
Pinecone now offers Pinecone Local, an in-memory database emulator available as a Docker image. You can use Pinecone Local to develop your applications locally, or to test your applications in CI/CD, without connecting to your Pinecone account, affecting production data, or incurring any usage or storage fees. Pinecone Local is in public preview.Launch week: Enhanced security and access controls
Support for customer-managed encryption keys (CMEK) is now in public preview.You can now change API key permissions.
Private Endpoints are now in general availability. Use Private Endpoints to connect AWS PrivateLink to Pinecone while keeping your VPC private from the public internet.
Audit logs, now in early access, provide a detailed record of user and API actions that occur within the Pinecone platform.
Launch week: pinecone-rerank-v0 and cohere-rerank-3.5 on Pinecone Inference
Released pinecone-rerank-v0, Pinecone’s state of the art reranking model that out-performs competitors on widely accepted benchmarks. This model is in public preview.Pinecone Inference now hosts
cohere-rerank-3.5, Cohere’s leading reranking model.Launch week: Integrated Inference
You can now use embedding models and reranking models hosted on Pinecone as an integrated part of upserting and searching.Released .NET SDK v2.1.0
Releasedv2.1.0 of the Pinecone .NET SDK. This version adds support for index tags and introduces the ClientOptions.IsTlsEnabled property, which must be set to false for non-secure client connections.Improved batch deletion guidance
Improved the guidance and example code for deleting records in batches.Launch week: Released pinecone-sparse-english-v0
Pinecone Inference now supports pinecone-sparse-english-v0, Pinecone’s sparse embedding model, which estimates the lexical importance of tokens by leveraging their context, unlike traditional retrieval models like BM25, which rely solely on term frequency. This model is in public preview.November 2024
Pinecone docs: New workflows and best practices
Added typical Pinecone Database and Pinecone Assistant workflows to the Docs landing page.Updated various examples to use the production best practice of targeting an index by host instead of name.
Updated the Amazon Bedrock integration setup guide. It now utilizes Bedrock Agents.
Released Java SDK v3.1.0
Releasedv3.1.0 of the Pinecone Java SDK. This version introduces support for specifying a base URL for control and data plane operations.Pinecone Assistant: Context snippets and structured data files
You can now retrieve the context snippets that Pinecone Assistant uses to generate its responses. This data includes relevant chunks, relevancy scores, and references.You can now upload JSON (.json) and Markdown (.md) files to an assistant.
Monthly spend alerts
You can now set an organization-wide monthly spend alert. When your organization’s spending reaches the specified limit, you will receive an email notification.Released Python SDK v5.4.0 and v5.4.1
Releasedv5.4.0 and v5.4.1 of the Pinecone Python SDK. v5.4.0 adds a query_namespaces utility method to run a query in parallel across multiple namespaces in an index and then merge the result sets into a single ranked result set with the top_k most relevant results. v5.4.1 adds support for the pinecone-plugin-inference package required for some integrated inference operations.Enabled CSV export of usage and costs
You can now download a CSV export of your organization’s usage and costs from the Pinecone console.Added Support chat in the console
You can now chat with the Pinecone support bot and submit support requests directly from the Pinecone console.Published Assistant quickstart guide
Added an Assistant quickstart.October 2024
Added index tagging for categorization
You can now add index tags to categorize and identify indexes.Released major SDK updates: Node.js, Go, Java, and Python
Releasedv4.0.0 of the Pinecone Node.js SDK. This version uses the latest stable API version, 2024-10, and adds support for reranking and import.Released
v2.0.0 of the Pinecone Go SDK. This version uses the latest stable API version, 2024-10, and adds support for reranking and import.Released
v3.0.0 of the Pinecone Java SDK. This version uses the latest stable API version, 2024-10, and adds support for embedding, reranking, and import.v3.0.0 also includes the following breaking change: The control class has been renamed db_control. Before upgrading to this version, be sure to update all relevant import statements to account for this change.For example, you would change import org.openapitools.control.client.model.*; to import org.openapitools.db_control.client.model.*;.v5.3.0 and v5.3.1 of the Pinecone Python SDK use the latest stable API version, 2024-10. These versions were release previously.Pinecone API version 2024-10 is now the latest stable version
2024-10 is now the latest stable version of the Database API and Inference API. For highlights, see SDKs below.Pinecone Inference now available on the free Starter plan
The free Starter plan now supports reranking documents with Pinecone Inference.Customer-managed encryption keys (CMEK) in early access
You can now use customer-managed encryption keys (CMEK) to secure indexes within a Pinecone project. This feature is in early access.Serverless index monitoring generally available
Monitoring serverless indexes with Prometheus or Datadog is now in general availability.Data import from Amazon S3 in public preview
You can now import data into an index from Amazon S3. This feature is in public preview.Chat and update features added to Assistant
Added thechat_assistant endpoint to the Assistant API. It can be used to chat with your assistant, and get responses and citations back in a structured form.You can now add instructions when creating or updating an assistant. Instructions are a short description or directive for the assistant to apply to all of its responses. For example, you can update the instructions to reflect the assistant’s role or purpose.
You can now update an existing assistant with new instructions or metadata.
September 2024
Released
Released
Released
v5.3.1 of the Pinecone Python SDK. This version adds a missing python-dateutil dependency.Released
v1.1.1 of the Pinecone Go SDK. This version adds support for non-secure client connections.Released
v2.1.0 of the Pinecone Java SDK. This version adds support for non-secure client connections.Released
v5.3.0 of the Pinecone Python SDK. This version adds support for import operations. This feature is in public preview.Added the
When using Pinecone Assistant, you can now choose an LLM for the assistant to use and filter the assistant’s responses by metadata.
metrics_alignment operation, which provides a way to evaluate the correctness and completeness of a response from a RAG system. This feature is in public preview.When using Pinecone Assistant, you can now choose an LLM for the assistant to use and filter the assistant’s responses by metadata.
Released
v5.2.0 of the Pinecone Python SDK. This version adds support for reranking documents with Pinecone Inference; it is no longer necessary to install the pinecone-plugin-inference package separately. This feature is in public preview.Released
v3.0.3 of the Pinecone Node.js SDK. This version removes extra logging and makes general internal enhancements.If you are upgrading from the Starter plan, you can now connect your Pinecone organization to the AWS Marketplace, GCP Marketplace, or Azure Marketplace for billing purposes.
Refreshed the navigation and overall visual interface of the Pinecone console.
Added Go examples for batch upserts, parallel upserts, and deleting all records for a parent document.
August 2024
Released
v3.0.2 of the Pinecone Node.js SDK. This version removes a native Node utility function that was causing issues for users running in Edge. There are no downstream affects of its removal; existing code should not be impacted.Released
Released
v5.1.0 of the Pinecone Python SDK. With this version, the SDK can now be installed with pip install pinecone / pip install "pinecone[grpc]". This version also includes a has_index() helper function to check if an index exists.Released
v0.1.0 and v0.1.1 of the Pinecone Rust SDK. The Rust SDK is in “alpha” and is under active development. The SDK should be considered unstable and should not be used in production. Before a 1.0 release, there are no guarantees of backward compatibility between minor versions. See the Rust SDK README for full installation instructions and usage examples.Released
v1.0.0 of the Pinecone .NET SDK. For usage examples, see our guides or the GitHub README.You can now back up and restore serverless indexes. This feature is in public preview.
Serverless indexes are now in general availability on GCP and Azure for Standard and Enterprise plans.
You can now deploy serverless indexes in the
Serverless indexes are now in general availability on GCP and Azure for Standard and Enterprise plans.
You can now deploy serverless indexes in the
europe-west1 (Netherlands) region of GCP.Released
v1.1.0 of the Pinecone Go SDK. This version adds support for generating embeddings via Pinecone Inference.Pinecone Assistant is now in public preview.
The Pinecone Inference API now supports reranking. This feature is in public preview.
Released
v1.0.0 of the Pinecone Go SDK. This version depends on Pinecone API version 2024-07 and includes the ability to prevent accidental index deletion. With this version, the Go SDK is officially supported by Pinecone.July 2024
Updated the Build a RAG chatbot guide to use Pinecone Inference for generating embeddings.
Added the ability to prevent accidental index deletion.
Released
Released
Released
v5.0.0 of the Pinecone Python SDK. This version depends on Pinecone API version 2024-07 and includes the ability to prevent accidental index deletion. Additionally, the pinecone-plugin-inference package required to generate embeddings with Pinecone Inference is now included by default; it is no longer necessary to install the plugin separately.Released
v3.0.0 of the Pinecone Node.js SDK. This version depends on Pinecone API version 2024-07 and includes the ability to prevent accidental index deletion. Additionally, this version supports generating embeddings via Pinecone Inference.Released
v2.0.0 of the Pinecone Java SDK. This version depends on Pinecone API version 2024-07 and includes the ability to prevent accidental index deletion. Additionally, this version includes the following breaking changes:createServerlessIndex()now requires a new argument:DeletionProtection.ENABLEDorDeletionProtection.DISABLED.configureIndex()has been renamedconfigurePodsIndex().
Released version
2024-07 of the Database API and Inference API. This version includes the following highlights:-
The
create_indexandconfigure_indexendpoints now support thedeletion_protectionparameter. Setting this parameter to"enabled"prevents an index from accidental deletion. For more details, see Prevent index deletion. -
The
describe_indexandlist_indexresponses now include thedeletion_protectionfield. This field indicates whether deletion protection is enabled for an index. -
The
spec.serverless.cloudandspec.serverless.regionparameters ofcreate_indexnow supportgcp/us-centralandazure/eastus2as part of the serverless public preview on GCP and Azure.
Serverless indexes are now in public preview on Azure for Standard and Enterprise plans.
Released version 1.1.0 of the official Spark connector for Pinecone. In this release, you can now set a source tag. Additionally, you can now upsert records with 40KB of metadata, increased from 5KB.
Serverless indexes are now in public preview on GCP for Standard and Enterprise plans.
Added an introduction to key concepts in Pinecone and how they relate to each other.
Added the Twelve Labs integration page.
Added the Twelve Labs integration page.
June 2024
Added a model gallery with details and guidance on popular embedding and reranking models, including models hosted on Pinecone’s infrastructure.
Released version 1.2.2 of the Pinecone Java SDK. This release simplifies the proxy configuration process. It also fixes an issue where the user agent string was not correctly setup for gRPC calls. Now, if the source tag is set by the user, it is appended to the custom user agent string.
You can now load a sample dataset into a new project.
Simplified the process for migrating paid pod indexes to serverless.
Simplified the process for migrating paid pod indexes to serverless.
The Assistant API is now in beta release.
The Inference API is now in public preview.
Added a new legal semantic search sample app that demonstrates low-latency natural language search over a knowledge base of legal documents.
Updated Python code samples to use the gRPC version of the Python SDK, which is more performant than the Python SDK that interacts with Pinecone via HTTP requests.
Released version 4.1.1 of the Pinecone Python SDK. In this release, you can now use colons inside source tags. Additionally, the gRPC version of the Python SDK now allows retries of up to
MAX_MSG_SIZE.The Enterprise quota for namespaces per serverless index has increased from 50,000 to 100,000.
May 2024
Released version 1.2.1 of the Pinecone Java SDK. This version fixes the error
Could Not Find NameResolverProvider using uber jar.Released version 1.1.0 of the Pinecone Java SDK. This version adds the ability to list record IDs with a common prefix.
Released version 1.2.0 of the Pinecone Java SDK. This version adds the ability to list all record IDs in a namespace.
Added the following integration pages:
You can now use the
ConnectPopup function to bypass the Connect widget and open the “Connect to Pinecone” flow in a popup. This can be used in an app or website for a seamless Pinecone signup and login process.Released version 1.0.0 of the official Spark connector for Pinecone. In this release, you can now upsert records into serverless indexes.
Pinecone now supports AWS PrivateLink. Create and use Private Endpoints to connect AWS PrivateLink to Pinecone while keeping your VPC private from the public internet.
Released version 4.0.0 of the Pinecone Python SDK. In this release, we are upgrading the
protobuf dependency in our optional grpc extras from 3.20.3 to 4.25.3. Significant performance improvements have been made with this update. This is a breaking change for users of the optional GRPC addon (installed with pinecone[grpc]).April 2024
- The docs now have a new AI chatbot. Use the search bar at the top of our docs to find related content across all of our resources.
- We’ve updated the look and feel of our example notebooks and sample apps. A new sample app, Namespace Notes, a simple multi-tenant RAG app that uploads documents, has also been added.
The free Starter plan now includes 1 project, 5 serverless indexes in the
us-east-1 region of AWS, and up to 2 GB of storage. Although the Starter plan has stricter limits than other plans, you can upgrade whenever you’re ready.Pinecone now provides a Connect widget that can be embedded into an app, website, or Colab notebook for a seamless signup and login process.
Added the lifecycle policy of the Pinecone API, which describes the availability phases applicable to APIs, features, and SDK versions.
As announced in January 2024, 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 is now in general availability. As a result, the legacy version of the API, which required regional URLs for control plane operations, is deprecated as of April 15, 2024 and will be removed in a future, to be announced, release.Released version 0.9.0 of the Canopy SDK. This version adds support for OctoAI LLM and embeddings, and Qdrant as a supported knowledge base. See the v0.9.0 release notes in GitHub for more details.
You can now deploy serverless indexes in the
eu-west-1 region of AWS.Released version 1.0.0 of the Pinecone Java SDK. With this version, the Java SDK is officially supported by Pinecone. For full details on the release, see the v1.0.0 release notes in GitHub. For usage examples, see our guides or the GitHub README. To migrate to v1.0.0 from version 0.8.x or below, see the Java v1.0.0 migration guide.
March 2024
Added a Troubleshooting section, which includes content on best practices, troubleshooting, and how to address common errors.
Added an explanation of the Pinecone serverless architecture, including descriptions of the high-level components and explanations of the distinct paths for writes and reads.
Added considerations for querying serverless indexes with metadata filters.
Added an explanation of the Pinecone serverless architecture, including descriptions of the high-level components and explanations of the distinct paths for writes and reads.
Added considerations for querying serverless indexes with metadata filters.
Released version 3.2.2 of the Pinecone Python SDK. This version 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 version 3.2.0 of the Pinecone Python SDK. This version adds four optional configuration properties that enable the use of Pinecone via proxy.
Released version 2.2.0 of the Pinecone Node.js SDK. This releases adds an optional
sourceTag that you can set when constructing a Pinecone client to help Pinecone associate API activity to the specified source.Released version 0.4.1 of the Pinecone Go SDK. This version adds an optional
Released version 2.2.0 of the Pinecone Node.js SDK.
Released version 0.4.1 of the Pinecone Go SDK.
SourceTag that you can set when constructing a Pinecone client to help Pinecone associate API activity to the specified source.Released version 2.2.0 of the Pinecone Node.js SDK.
Released version 0.4.1 of the Pinecone Go SDK.
Released version 3.2.1 of the Pinecone Python SDK. This version 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.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 library. See the v0.8.1 release notes in GitHub for more details.
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).
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 version 0.4.0 of the Pinecone Go SDK. This version is a comprehensive re-write and adds support for all current Pinecone API operations.
Fixed a bug that caused inaccurate index fullness reporting for some pod-based indexes on GCP.
You can now deploy serverless indexes in the
You can now deploy serverless indexes in the
us-east-1 region of AWS.Released version 2.1.0 of the Pinecone Node.js SDK. This version 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.
You can now configure single single-on to manage your teams’ access to Pinecone through any identity management solution with SAML 2.0 support, such as Okta. This feature is available on the Enterprise plan only.
February 2024
Updated the Langchain integration guide to avoid a namespace collision issue.
The latest version of the Canopy SDK (v0.8.0) adds support for Pydantic v2. For applications depending on Pydantic v1, this is a breaking change; review the Pydantic v1 to v2 migration guide and make the necessary changes before upgrading. See the Canopy SDK release notes in GitHub for more details.
The latest version of Pinecone’s Python SDK (v3.1.0) 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. See the Python SDK release notes in GitHub for more details.
Improved the docs for setting up billing through the AWS marketplace and GCP marketplace.
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.
Added a Llamaindex integration guide on building a RAG pipeline with LlamaIndex and Pinecone.
January 2024
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 latest versions of Pinecone’s Python SDK (v3.0.0) and Node.js SDK (v2.0.0) support the new API. To use the new API, existing users must upgrade to the new client versions and adapt some code. For guidance, see the Python SDK v3 migration guide and Node.js SDK v2 migration guide.
The Pinecone documentation is now versioned. The default “latest” version reflects the new Pinecone API. The “legacy” version reflects the previous API, which requires regional URLs for control plane operations and does not support serverless indexes.
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.
- 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, andlist_indexesnow 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.