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Version 13.11.0

Released: September 13th 2025

The main highlight of this release is Auto Embeddings — a new feature that makes semantic search as easy as SQL.
No need for external services or complex pipelines: just insert text and search with natural language.

What Auto Embeddings Offer

  • Automatic embedding generation directly from your text
  • Natural language queries that understand meaning, not just keywords
  • Support for multiple models (OpenAI, Hugging Face, Voyage, Jina)
  • Seamless integration with SQL and JSON APIs

Recommended libraries

  • Recommended MCL version: 8.0.3
  • Recommended Buddy version: 3.35.1

If you follow the official installation guide, you don’t need to worry about this.

New Features and Improvements

Bug Fixes

  • 🪲 v13.10.5 PR [#3737] The scroll option now correctly returns all documents with large 64-bit IDs.
  • 🪲 v13.10.4 PR [#3736] Fixed a crash when using KNN with a filter tree.
  • 🪲 v13.10.3 Issue [#3520] The /sql endpoint no longer allows the SHOW VERSION command.
  • 🪲 v13.10.2 PR [#3637] Updated the Windows installer script.
  • 🪲 v13.10.1 Fixed local time zone detection on Linux.
  • 🪲 v13.9.2 PR [#3726] Duplicate IDs in columnar mode now correctly return an error.
  • 🪲 v13.9.1 PR [#3333] The manual is now auto-translated.
  • 🪲 v13.8.6 PR [#3715] Fixed an embeddings generation issue when all docs in a batch were skipped.
  • 🪲 v13.8.5 PR [#3711] Added Jina and Voyage embedding models, along with other automatic embeddings-related changes.
  • 🪲 v13.8.4 PR [#3710] Fixed a crash on joined queries with multiple facets.
  • 🪲 v13.8.3 Fixed an issue where delete/update commits in a transaction with multiple statements at the _bulk endpoint were not counted as errors.
  • 🪲 v13.8.2 PR [#3705] Fixed a crash when joining by non-columnar string attributes and improved error reporting.
  • 🪲 v13.8.1 PR [#3704] Fixed a crash in query embeddings when no model was specified; added embeddings string to master-agent communication; added tests.
  • 🪲 v13.7.2 PR #Buddy#589 Removed the default IDF hack for fuzzy search.
  • 🪲 v13.7.1 Issue [#3454] Fixed incorrect scroll decoding with large 64-bit IDs.
  • 🪲 v13.6.9 Issue [#3674] Fixed JDBC+MySQL driver/connection pool issue with the transaction_read_only setting.
  • 🪲 v13.6.8 PR [#3676] Fixed a crash on an empty result set returned by the embeddings model.
Source: README.md, updated 2025-09-10