Summary

Learn more about Milvus vectorDB, an open vector database within watsonx.data to store, index, and manage vector embeddings to enable vector similarity search and RAG Generative AI use cases.

Now you can unify, curate, and prepare data efficiently for AI models and applications, enabling RAG use cases at scale across large sets of your trusted, governed data.

Please join us in this on-demand recording. Please share any questions by clicking on the Reply button. If you have not done so already, register to watch here.

#watsonx.data

------------------------------
Mekki MacAulay
------------------------------

Thanks for sharing Mekki! Can't wait! 

------------------------------
Austin Rexroat IBM AI Community Manager
------------------------------

Perfect timing, we have several pilots in Client Engineering with requirements for client-provided document ingestion that creates a "knowledge base" (KB) for in-house/external RAG-access use cases.
Some use cases will search the KB for keywords, and others provide users with a virtual assistant experience using natural language queries to the KB for data insights to suggest guidance to end users.
Which IBM technologies can serve both of these use cases simultaneously? 

------------------------------
Tom Benedetto Principal Solution Architect
Principal Solution Architect
IBM Client Engineering
Woodbury CT
2032064611
------------------------------

Hi everyone,

You can watch the on-demand recording here and download the slides here.

Please share any of your questions below.

------------------------------
Mekki MacAulay
------------------------------