WebClient Was Fast. Spring AI Was Easy. I Chose .... Here's What Happened.
This note is a continuation of the previous part. The motivation was to compare approaches to implementing the integration with AI: Ollama: responsible to calculate embeddings vectors Vector database, Qdrant in our case: responsible to keep and search Notes Let’s start with a summary. This conclusion was obvious even before touching the code, but after playing around, it has been confirmed. Better to start with Spring AI if integration is needed. It provides a good abstraction layer, including: ...