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

• Updated Dec 28, 2024
• Jupyter Notebook

Kwassa Digi Tech is a Sandton/remote based agency, offering SEO | AI-SEO Strategy | Growth & Content Marketing. Our role is to help businesses improve their online visibility within 6 months,1.5x more, attract organic traffic, and convert that traffic into customers

seo seo-optimization contentmarketing digitalmarketingservices contentstrategy searchoptimization aiseo

• Updated Mar 1, 2026
• HTML

This project implements a simple LLM-based, retrieval-augmented recommendation system for the SHL assignment.

python web webscraping rag streamlit llm rag-pipeline searchoptimization

• Updated Dec 18, 2025
• Python