List: Similarity Search | Curated by Vyacheslav Efimov | Medium

Jun 11, 2024

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Similarity Search

A series of articles describing efficient ways of performing scalable similarity search on large data and introducing Faiss library.

Vyacheslav Efimov
in
Towards Data Science

Similarity Search, Part 7: LSH Compositions

Dive into combinations of LSH functions to guarantee a more reliable search

Jul 24, 2023

Similarity Search, Part 7: LSH Compositions

Jul 24, 2023

Vyacheslav Efimov
in
Towards Data Science

Similarity Search, Part 6: Random Projections with LSH Forest

Understand how to hash data and reflect its similarity by constructing random hyperplanes

Jul 21, 2023

Similarity Search, Part 6: Random Projections with LSH Forest

Jul 21, 2023

Vyacheslav Efimov
in
Towards Data Science

Similarity Search, Part 5: Locality Sensitive Hashing (LSH)

Explore how similarity information can be incorporated into hash function

Jun 24, 2023

Similarity Search, Part 5: Locality Sensitive Hashing (LSH)

Jun 24, 2023

Vyacheslav Efimov
in
Towards Data Science

Similarity Search, Part 4: Hierarchical Navigable Small World (HNSW)

Hierarchical Navigable Small World (HNSW) is a state-of-the-art algorithm used for an approximate search of nearest neighbours. Under the…

Jun 16, 2023

Similarity Search, Part 4: Hierarchical Navigable Small World (HNSW)

Jun 16, 2023

Vyacheslav Efimov
in
Towards Data Science

Similarity Search, Part 3: Blending Inverted File Index and Product Quantization

In the first two parts of this series we have discussed two fundamental algorithms in information retrieval: inverted file index and…

May 19, 2023

Similarity Search, Part 3: Blending Inverted File Index and Product Quantization

May 19, 2023

Vyacheslav Efimov
in
Towards Data Science

Similarity Search, Part 2: Product Quantization

Learn a powerful technique to effectively compress large data

May 10, 2023

Similarity Search, Part 2: Product Quantization

May 10, 2023

Vyacheslav Efimov
in
Towards Data Science

Similarity Search, Part 1: kNN & Inverted File Index

Similarity search is a popular problem where given a query Q we need to find the most similar documents to it among all the documents D.

Apr 28, 2023

Similarity Search, Part 1: kNN & Inverted File Index

Apr 28, 2023

Vyacheslav Efimov
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BSc in Software Engineering 👨‍🎓 | Passionate Machine Learning Engineer 👨‍💻 | Writer for Towards Data Science ✍️
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