Use Db2-related AI SKILL.md files to develop your data-driven AI applications. Utilize tool calling to Db2 to retrieve relevant data in real-time.
Some experiments with Db2 vector capabilities that demonstrate the power of SQL, but also show that careful selection of embedding models is needed
Here is my howto on searching IBM Documentation, including the Db2 docs. It's a follow-up to a blog post from 2021.
I asked IBM Bob as my development partner to explain me the Db2 access plan shown in my previous blog post.
Similarity search for vector data often is approximate nearest neighbor (ANN) search. Db2 introduces vector indexes to speed up such queries.
Db2 now supports integration of external models. This allows computation of vector embeddings or text generation directly from the SQL context.
Db2 Genius Hub supports several authentication methods for secure access. I show how to set up authentication by using the repository and database roles.
