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New in 3.2

      +
      Couchbase Lite 3.0 introduces some breaking changes.
      If you are upgrading from 2.x, please refer to the appropriate upgrade page — see: Upgrading Users should be able to upgrade to 3.1.x from 3.0.x without manual intervention.

      Release 3.2.0 (August 2024)

      New Features

      Vector Search is available only for 64-bit architectures and Intel processors that support the Advanced Vector Extensions 2 (AVX2) instruction set. To verify whether your device supports the AVX2 instructions set, follow these instructions.

      Vector Search is now available on Couchbase Lite for all platforms. Vector Search is a sophisticated data retrieval technique that focuses on matching the contextual meanings of search queries and data entries, rather than simple text matching. Vectors are represented by arrays of numbers known as embeddings, which are generated by Large Language Models (LLMs) to represent objects such as text, images, and audio. You can use Vector Search to efficiently find similar items or content based on the similarity of their vector representations. This is useful for reducing the cost per query, performing semantic or similarity search, providing recommendations among others.

      Read more at:

      Extended Date/Time Functionality

      Six new DateTime functions have been added to Couchbase Lite N1QL:

      • STR_TO_TZ()

      • MILLIS_TO_TZ()

      • DATE_DIFF_STR()

      • DATE_DIFF_MILLIS()

      • DATE_ADD_STR()

      • DATE_ADD_MILLIS()

      Read more at:

      See also

      What’s new in previous version 3.1

      Couchbase Lite Release Notes

      Android | C | .NET | Java | Objective-C | Swift

      Vector Search Release Notes

      Android | C | .NET | Java | Objective-C | Swift

      Upgrading

      Android | .NET | Java | Objective-C | Swift