Скачать с ютуб Generating Embeddings with Spring AI: Step-by-Step Guide with Pitfalls в хорошем качестве

Generating Embeddings with Spring AI: Step-by-Step Guide with Pitfalls

Imagine you have some data and are eager to build your first generative AI application with Spring AI. How exactly do you generate embeddings? Which data should you use for the similarity search? Which embedding model should you choose? This video walks you through the process of creating a custom embedding generator using Spring AI. You'll see all the steps without shortcuts and learn how to address common pitfalls. 0:00 Playing with the full-text search version of the app 3:55 Selecting data for embedding generation 5:37 Picking an OpenAI embedding model 7:27 Adding a database column for vectorized data 8:28 Configuring Spring AI 10:10 Implementing a custom embeddings generator 15:03 Troubleshooting common pitfalls 17:39 Starting the generation process 18:48 Using the similarity search instead of full-text search 22:25 Next steps Interested in diving deeper into databases? Stay connected with me here: * Medium:   / magda7817   * Twitter:   / denismagda