Retrieval-Optimization-From-Tokenization-to-Vector-Quantization
PublicThe course provides a comprehensive guide to optimizing retrieval systems in large-scale RAG applications. It covers tokenization, vector quantization, and search optimization techniques to enhance search quality, reduce memory usage, and balance performance in vector search systems.
data-scienceembeddingmodelshnswmachine-learningmachinelearningnatural-language-processingragrag-systemsragsystemsretrieval-augmented-generation
Creat：2024-10-09T23:30:11
Update：2025-01-10T17:34:32
https://www.deeplearning.ai/short-courses/retrieval-optimization-from-tokenization-to-vector-quantization/
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