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– What are vector databases
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Classroom Contents
Vector Similarity Search
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- 1 – Introduction
- 2 – What are Embeddings.
- 3 – How to get embeddings?
- 4 – What are vector databases
- 5 – Types of indices, when you use them, and how to get access?
- 6 – How to use indices, and how to combine them with other services.
- 7 – Why is there an increased interest in this space?
- 8 – Day-to-day things used in workflows
- 9 – Contact Center Analytics using Speech API & Open AI
- 10 – Generative search methodology
- 11 – Recommendation systems and how vector search use case
- 12 – Off-the-shelves models for particular use cases
- 13 – One thing you’re excited about in this space
