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Vector similarity search is one of the fastest-growing domains in AI and machine learning. At its core, it is the process of matching relevant pieces of information together.
Similarity search is a complex topic and there are countless techniques for building effective search engines.
In this video, we'll cover three vector-based approaches for comparing languages and identifying similar 'documents', covering both vector similarity search and semantic search:
- TF-IDF
- BM25
- Sentence-BERT
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00:00 Intro
01:37 TF-IDF
11:44 BM25
20:30 SBERT