Vector Similarity Search

Vector Similarity Search

Data Science Dojo via YouTube Direct link

– Introduction

1 of 13

1 of 13

– Introduction

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Classroom Contents

Vector Similarity Search

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

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