AI Accelerator - Pipelines 2.1.1 release notes
Released: 3 February 2025
In this release, we add support for Nvida NIM, introduce new model names, and improve the retriever pipeline.
Highlights
- Support for Nvidia NIM added.
embeddings
andcompletions
are new model names.- Reranking using NIM is now available.
- Source tables in retriever pipelines now support schemas.
Enhancements
Description | Addresses |
---|---|
Renamed openai_embedding and openai_completionThe model names | |
Improved model provider credential managementImprove model provider credential management in the create_model() call. New credentials no longer get silently ignored if credentials already exist. | |
Added handler for the FDW (foreign data wrappers) used for the model registryThe handler has no functionality but it satisfies the FDW handler interface. This avoids certain issues with PG system calls that happen when FDWs don't have any handlers. | |
Added schema support / fully qualified identifiers to the retriever pipeline.For retrievers with table sources, the source table and vector table can now be in any schema in the PG database. The schema can either be passed during retriever creation (fully qualified identifier) or can be omitted. If the schema is omitted, we resolve and store the applicable schema. |
- On this page
- Highlights
- Enhancements
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