AI Accelerator - Pipelines 1.0.0 release notes
Released: 20 November 2024
This is the GA release of EDB Postgres AI - AI Accelerator - Pipelines. Since the technical preview, a number of enhancements have been made.
Highlights
- Integrated model runtime.
- Support for external models with OpenAI API.
- Secure management of API credentials vie postgres "user mapping" feature.
- Model registry that allows configuring internal/external models.
- PGFS/volumes allows working with external data from S3 object stores and file systems.
- Low-level primitives for models: encode, transform for image and text data.
- Enhanced retriever concept for data retrieval.
- Support image and text data, including: Postgres tables, external storage, and ad-hoc queries.
- Support for building fully custom AI workflows/pipelines.
Enhancements
Description | Addresses |
---|---|
Integrated model runtime | |
Support for external models with OpenAI API | |
Secure management of API credentials vie postgres "user mapping" featureImproved from the tech preview which had no secure credential management. | |
Model registry that allows configuring internal/external modelsA new concept in Pipelines over the tech preview which had only retrievers. | |
pgfs/volumes allows working with external data from S3 object stores and file systemsThe tech preview could only work with S3 in retrievers. Now, the volume concept allows working with external data in general. | |
Low-level primitives for models: encode, transform for image and text data | |
Enhanced retriever concept for data retrieval | |
Support image and text dataImages can be retreieved from
| |
Support for building fully custom AI workflows/pipelines
|
- On this page
- Highlights
- Enhancements
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