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Choosing Indexes for Similarity Search - Faiss in Python

James Briggs via YouTube

Overview

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This course introduces Faiss indexes for similarity search and demonstrates how to compare and tune Flat, LSH, HNSW, and IVF indexes using the SIFT1M dataset. It uses Python code to examine trade-offs among search speed, recall, and index size.

Syllabus

Intro
Getting the data
Flat indexes
Highlevel indexes
Coding
Performance
Inverted File Index
Implementation
Summary

Taught by

James Briggs

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