https://github.com/ksm26/retrieval-optimization-from-tokenization-to-vector-quantization

The 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-science embeddingmodels hnsw machine-learning machinelearning natural-language-processing rag rag-systems ragsystems retrieval-augmented-generation retrievaloptimization search-algorithm search-optimization searchoptimization tokenization vectorquantization vectorsearch

Last synced: 15 Apr 2026