AI Accelerator - Pipelines 3.0.1 release notes
Released: 3 April 2025
In this release, we're adding auto-processing support to the new Preparer Pipeline and make a breaking change to the return type of two batch processing functions.
As always, we also include enhancements to existing functionality.
Highlights
- The new Data Preparation Pipeline now supports Live auto processing when the data source is a table.
- The retriever pipeline now automatically creates vector indexes for faster lookups.
- Model encode/decode batch functions now return rows, making them fit more naturally into SQL queries.
- Ubuntu 24.04LTS builds are now available
Enhancements
Description | Addresses |
---|---|
Live auto processing for the Preparer PipelineThe preparer pipeline now support live auto processing for data sources that are postgres tables. When enabled, aidb will create triggers on the source table to automatically run the preparer task. | |
Model encode/decode batch functions now return rows instead of an array of results.The two functions | |
Auto-processing (auto-embedding) is now configured via new function.The two functions | |
The retriever pipeline now automatically creates vector indexes for faster lookups.Vector indexes are now automatically created when creating retrievers in the pipeline. These indexes can be configured in the | |
Added support for |
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- Highlights
- Enhancements
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