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@tinaengel tinaengel released this 06 Mar 14:58
· 1081 commits to main since this release

We created an additional example where we show semantic search through a dataset of IT helpdesk tickets. This example demonstrates how the OpenAI connector combined with vector database logic can be leveraged to perform semantic search on data records in an application. Two variations are demonstrated, one where a single column is embedded for the search, the other one uses a multi-column approach.

Furthermore, the values of the OpenAI model enumerations have been updated. We added gpt-4-turbo-preview, gpt-4-1106-preview and text-embeddings-3-small and we removed legacy models gpt-3.5-turbo-16k and gpt-4-32k.

Lastly, the database connector module has been updated to the newest released version.