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What's New in Version 1.0.14

April 16, 2026 5:22 PM UTC

Version 1.0.14 of the relationalai Python package is now available!

To upgrade, activate your virtual environment and run the following command:

Terminal window
pip install --upgrade relationalai

New Features and Enhancements

Section titled “New Features and Enhancements”

  • Improved notebook support. Before, rerunning notebook cells could leave behind earlier model state, and diagnostics were less notebook-aware. Now PyRel cleans up prior model declarations more reliably across reruns and renders diagnostics inline in notebooks when possible.

  • Added reasoner-specific connection overrides in raiconfig.yaml. You can now set reasoners.<type>.connection so a specific reasoner uses a different connection than the global default_connection. For broader reasoner configuration, see Configure reasoners.

  • Added the rai debugger CLI command.

  • Added pagination to jobs:list and reasoners:list. Use --limit and --offset to control large result sets.

Bug Fixes

Section titled “Bug Fixes”

  • Fixed model.data() so DataFrame columns with PyRel Int128 extension dtypes are inferred as Integer instead of falling back to Any. Before, DataFrames with those columns could fail type inference after round-tripping results back into model.data(). Now those inputs compile without requiring a manual cast.

  • Fixed correctness issues in unary relationships. Before, queries against unary relationships could produce incorrect results, such as over-counting.

  • Fixed rank_asc() and rank_desc() when used with distinct(). Before, duplicate values were not always deduplicated before ranking, so repeated values could still be ranked separately instead of once as unique values. Now queries that use these ranking functions with distinct() reliably rank unique values after deduplication.

  • Fixed an issue where property names could get renamed in query results if the property name contains spaces or special characters like parentheses. This happened when a property was auto-created from a table column name with spaces or parentheses, like height(cm) or full name. Previously, these names could get transformed to height_cm or full_name in results columns, which could cause confusion when working with the results. Now, property names are preserved as-is in results.