> ## Documentation Index
> Fetch the complete documentation index at: https://docs.pinecone.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Pinecone 2022 changelog

> Every change to Pinecone in 2022, including new features, API updates, deprecations, and pricing and plan changes.

All Pinecone products share this changelog. Use the filters to narrow the list.

<Update label="2022-12-22" tags={["Billing"]}>
  ### Pinecone is now available in Google Cloud Marketplace

  You can now [sign up for Pinecone billing through Google Cloud Marketplace](/guides/organizations/manage-billing/upgrade-billing-plan).
</Update>

<Update label="2022-12-06" tags={["General"]}>
  ### Organizations are generally available

  Pinecone now features [organizations](/guides/organizations/understanding-organizations), which allow one or more users to control billing and project settings across multiple projects owned by the same organization.
</Update>

<Update label="2022-12-06" tags={["Database"]}>
  ### p2 pod type is generally available

  The [p2 pod type](/guides/index-data/indexing-overview#p2-pods) is now generally available and ready for production workloads. p2 pods are now available in the Starter plan and support the [dotproduct distance metric](/guides/index-data/create-an-index#dotproduct).
</Update>

<Update label="2022-12-06" tags={["Database"]}>
  ### Performance improvements

  * [Bulk vector deletes](/guides/index-data/upsert-data/#deleting-vectors) are now up to 10x faster in many circumstances.
  * [Creating collections](/guides/manage-data/back-up-an-index) is now faster.
</Update>

<Update label="2022-10-31" tags={["Database", "Search"]}>
  ### Hybrid search is in early access

  Pinecone now supports keyword-aware semantic search with the new hybrid search indexes and endpoints. Hybrid search enables improved relevance for semantic search results by combining them with keyword search.

  This is an **early access** feature and is available only by [signing up](https://www.pinecone.io/hybrid-search-early-access/).
</Update>

<Update label="2022-10-17" tags={["General"]}>
  ### Status page

  The new [Pinecone Status Page](https://status.pinecone.io/) displays information about the status of the Pinecone service, including the status of individual cloud regions and a log of recent incidents.
</Update>

<Update label="2022-09-16" tags={["Database"]}>
  ### Public collections

  You can now create indexes from public collections, which are collections containing public data from real-world data sources. Currently, public collections include the Glue - SSTB collection, the TREC Question classification collection, and the SQuAD collection.
</Update>

<Update label="2022-08-16" tags={["Database"]}>
  ### Collections are in public preview

  You can now [make static copies of your index using collections](/guides/manage-data/back-up-an-index). After you create a collection from an index, you can create a new index from that collection. The new index can use any pod type and any number of pods. Collections only consume storage.

  This is a **public preview** feature and isn't appropriate for production workloads.
</Update>

<Update label="2022-08-16" tags={["Database"]}>
  ### Vertical scaling

  You can now [change the size of the pods](/guides/indexes/pods/scale-pod-based-indexes#increase-pod-size) for a live index to accommodate more vectors or queries without interrupting reads or writes. The p1 and s1 pod types are now available in [4 different sizes](/guides/index-data/indexing-overview/#pods-pod-types-and-pod-sizes): `1x`, `2x`, `4x`, and `8x`. Capacity and compute per pod double with each size increment.
</Update>

<Update label="2022-08-16" tags={["Database"]}>
  ### p2 pod type is in public preview

  The new [p2 pod type](/guides/index-data/indexing-overview/#p2-pods) provides search speeds of around 5ms and throughput of 200 queries per second per replica, or approximately 10x faster speeds and higher throughput than the p1 pod type, depending on your data and network conditions.

  This is a **public preview** feature and isn't appropriate for production workloads.
</Update>

<Update label="2022-08-16" tags={["Database"]}>
  ### Improved p1 and s1 performance

  The [s1](/guides/index-data/indexing-overview/#s1-pods) and [p1](/guides/index-data/indexing-overview/#p1-pods) pod types now offer approximately 50% higher query throughput and 50% lower latency, depending on your workload.
</Update>

<Update label="2022-07-26" tags={["API"]}>
  ### Metadata filtering for `describe_index_stats`

  You can now specify a [metadata filter](/guides/index-data/indexing-overview#metadata) to get results for a subset of the vectors in your index by calling [`describe_index_stats`](/reference/api/2024-07/control-plane/describe_index) with a [filter](/reference/api/2024-07/control-plane/describe_index#!path=filter\&t=request) object.

  The `describe_index_stats` operation now uses the `POST` HTTP request type. The `filter` parameter is only accepted by `describe_index_stats` calls using the `POST` request type. Calls to `describe_index_stats` using the `GET` request type are now deprecated.
</Update>

<Update label="2022-07-12" tags={["General"]}>
  ### Pinecone console guided tour

  You can now choose to follow a guided tour in the [Pinecone console](https://app.pinecone.io). This interactive tutorial walks you through creating your first index, upserting vectors, and querying your data. The purpose of the tour is to show you all the steps you need to start your first project in Pinecone.
</Update>

<Update label="2022-06-24" tags={["API"]}>
  ### Updated response codes

  The [`create_index`](/reference/api/2024-07/control-plane/create_index), [`delete_index`](/reference/api/2024-07/control-plane/delete_index), and `scale_index` operations now use more specific HTTP response codes that describe the type of operation that succeeded.
</Update>

<Update label="2022-06-07" tags={["Database"]}>
  ### Selective metadata indexing

  You can now store more metadata and more unique metadata values. [Select which metadata fields you want to index for filtering](/guides/indexes/pods/manage-pod-based-indexes#selective-metadata-indexing) and which fields you only wish to store and retrieve. When you index metadata fields, you can filter vector search queries using those fields. When you store metadata fields without indexing them, you keep memory utilization low, especially when you have many unique metadata values, and therefore can fit more vectors per pod.
</Update>

<Update label="2022-06-07" tags={["Database"]}>
  ### Single-vector queries

  You can now [specify a single query vector using the vector input](/reference/api/2024-07/data-plane/query/#!path=vector\&t=request). We now encourage all users to query using a single vector rather than a batch of vectors, because batching queries can lead to long response messages and query times, and single queries execute just as fast on the server side.
</Update>

<Update label="2022-06-07" tags={["Database"]}>
  ### Query by ID

  You can now [query your Pinecone index using only the ID for another vector](/reference/api/2024-07/data-plane/query/#!path=id\&t=request). This is useful when you want to search for the nearest neighbors of a vector that's already stored in Pinecone.
</Update>

<Update label="2022-06-07" tags={["Database"]}>
  ### Improved index fullness accuracy

  The index fullness metric in [`describe_index_stats`](/reference/api/2024-07/control-plane/describe_index#!c=200\&path=indexFullness\&t=response) results is now more accurate.
</Update>

<Update label="2022-04-25" tags={["Database"]}>
  ### Partial updates are in public preview

  You can now perform a partial update by ID and individual value pairs. This allows you to update individual metadata fields without having to upsert a matching vector or update all metadata fields at once.
</Update>

<Update label="2022-04-25" tags={["Database"]}>
  ### New metrics

  Users on all plans can now see metrics for the past one (1) week in the Pinecone console. Users on the Enterprise plan now have access to the following metrics via the [Prometheus metrics endpoint](/guides/production/monitoring/):

  * `pinecone_vector_count`
  * `pinecone_request_count_total`
  * `pinecone_request_error_count_total`
  * `pinecone_request_latency_seconds`
  * `pinecone_index_fullness` (public preview)

  The accuracy of the `pinecone_index_fullness` metric is improved. This may result in changes from historic reported values. This metric is in public preview.
</Update>

<Update label="2022-04-25" tags={["SDK"]}>
  ### Spark connector

  Spark users who want to manage parallel upserts into Pinecone can now use the [official Spark connector for Pinecone](https://github.com/pinecone-io/spark-pinecone#readme) to upsert their data from a Spark dataframe.
</Update>

<Update label="2022-04-25" tags={["Database"]}>
  ### Support for Boolean and float metadata in Pinecone indexes

  You can now add `Boolean` and `float64` values to [metadata JSON objects associated with a Pinecone index](/guides/index-data/indexing-overview#metadata).
</Update>

<Update label="2022-04-25" tags={["API"]}>
  ### New state field in `describe_index` results

  The [`describe_index`](/reference/api/2024-07/control-plane/describe_index/) operation results now contain a value for `state`, which describes the state of the index. The possible values for `state` are `Initializing`, `ScalingUp`, `ScalingDown`, `Terminating`, and `Ready`.
</Update>

<Update label="2022-04-25" tags={["Database"]}>
  ### Delete by metadata filter

  The [Delete](/reference/api/2024-07/data-plane/delete/) operation now supports filtering by metadata.
</Update>