This post demonstrates how to create embeddings with Genkit Go using the Azure OpenAI plugin, and implements a practical vector search example with PostgreSQL and pgvector.
In the first post of this blog series, I built an plugin for Genkit Go that support the Azure OpenAI v1. In this blog post, I’ll show you how to adapt our Azure OpenAI plugin to support the still widely used API version 2024-10-21.
A few weeks ago, Google announced the general availability of Genkit Go, described as Google’s open-source AI development framework for the Go ecosystem. In this blog series, I will explain how to use Genkit Go with Azure OpenAI.