Challenges of ML/AI Applications and Vector Embeddings with Weaviate - Part 3

Challenges of ML/AI Applications and Vector Embeddings with Weaviate - Part 3

Data Science Dojo via YouTube Direct link

47:02 Query Augmentation and Decision Trees

11 of 12

11 of 12

47:02 Query Augmentation and Decision Trees

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Challenges of ML/AI Applications and Vector Embeddings with Weaviate - Part 3

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  1. 1 00:00 Overview of AI in the Real World
  2. 2 01:16 Recap of Webinar 1: What is a Vector Embedding?
  3. 3 05:31 Recap of Webinar 2: What is Vector Search?
  4. 4 09:47 Search at Scale
  5. 5 15:03 Hybrid Search
  6. 6 22:39 Retrieval Augmented Generation RAG
  7. 7 23:55 Demo: Verba – Open Source RAG
  8. 8 36:49 E-Commerce with AI
  9. 9 39:22 Next Horizon: Agentic Architectures
  10. 10 42:03 Example: Elysia – Agentic RAG Framework
  11. 11 47:02 Query Augmentation and Decision Trees
  12. 12 49:22 Common Pitfalls in AI Implementation

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