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FAISS - Introduction to Similarity Search

James Briggs via YouTube

Overview

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This course introduces FAISS for efficient similarity search over high-dimensional sentence embeddings. It demonstrates flat, inverted-file, and product-quantization indexes and compares their speed and accuracy.

Syllabus

Introduction
Code Overview
Index Flat L2
Index Training
Adding Vectors
Query Time
Voronoi Cells
Coding
Index IVF
Product Quantization Index
Implementing Product Quantization Index
Comparison

Taught by

James Briggs

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