Episode 3 focuses on VECTOR data types—the backbone of AI search and similarity use cases.
What’s Inside:
- How to define and use
VECTOR(n)columns in tables - Storing and indexing text embeddings inside your database
- Comparing distances using cosine or dot product metrics
- T-SQL usage examples with
vector_search()