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Congratulations on completing the course. You explored the inner workings of embedding models and learned how to optimize semantic search for real-world applications. The R in RAG stands for retrieval. And by managing the quality of the results, you will develop more reliable AI applications. I'm looking forward to seeing what you build on your own.
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Next Lesson
Retrieval Optimization: Tokenization to Vector Quantization
  • Introduction
    Video
    ・
    6 mins
  • Embedding models
    Video with Code Example
    ・
    16 mins
  • Role of the tokenizers
    Video with Code Example
    ・
    15 mins
  • Practical implications of the tokenization
    Video with Code Example
    ・
    14 mins
  • Measuring Search Relevance
    Video with Code Example
    ・
    14 mins
  • Optimizing HNSW search
    Video with Code Example
    ・
    10 mins
  • Vector quantization
    Video with Code Example
    ・
    16 mins
  • Conclusion
    Video
    ・
    1 min
  • Appendix – Tips and Help
    Code Example
    ・
    1 min
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