Understanding Why Vector Databases Are Essential for RAG скачать в хорошем качестве

Understanding Why Vector Databases Are Essential for RAG

In this video, I explain the role of vector databases and why they are essential for efficient text vector retrieval in RAG workflows. We’ll look at how vector comparisons work, the importance of similarity measures like cosine similarity, and the challenges of handling large numbers of high-dimensional vectors. I’ll break down how vector databases tackle the complexities of scaling and speeding up retrieval, making AI applications faster and more responsive. Perfect for those interested in the technical side of vector search and optimizing retrieval in large-scale AI systems!