Knowledge session: Practical use-cases of LLM embeddings

Embeddings generated by Large Language Models have interesting use-cases in text processing / understanding that enable new solutions that used to be nearly impossible to implement using TSQL.

 In this knowledge sessions, we will be discussing three of these use-cases:
- Natural Language Search
- Recommending similar products
- Recommending products based on a users purchase history