Vectorization stores are not created equal. You have tons of choices in the market, but to be efficient, you have to understand your data and its type to make a wise decision that will save you time and money and also provide the most accurate responses. The trick is knowing the difference between vectorizing unstructured vs semi-structured vs structured data.

This session will also discuss the diskANN algorithm for finding the nearest neighbor for semantic searches.

You will learn:

• About PostgreSQL as a Vectorization database
• About Cosmos DB as a vectorization database
• About SQL Server as a vectorization database