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retrieval

Explore machine learning concepts related to retrieval. Clear explanations and practical insights.

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Concepts Related to retrieval

August 16, 2024

Binary Embeddings

Ultra-compact 1-bit representations for massive-scale retrieval

binary-embeddings quantization hashing compression retrieval

7 min readConcept

August 16, 2024

BM25 Algorithm

Probabilistic ranking function for information retrieval with term frequency saturation

bm25 retrieval ranking sparse-retrieval tf-idf search

10 min readConcept

January 21, 2025

Cross-Encoder vs Bi-Encoder

Understand the fundamental differences between independent and joint encoding architectures for neural retrieval systems.

cross-encoder bi-encoder retrieval reranking neural-search transformers

7 min readConcept

January 21, 2025

Multi-Vector Late Interaction

Explore ColBERT and other multi-vector retrieval models that use fine-grained token-level matching for superior search quality.

colbert retrieval multi-vector late-interaction dense-retrieval search

8 min readConcept

January 21, 2025

Sparse vs Dense Embeddings

Compare lexical (BM25/TF-IDF) and semantic (BERT) retrieval approaches, understanding their trade-offs and hybrid strategies.

sparse-embeddings dense-embeddings bm25 tfidf bert hybrid-search retrieval

9 min readConcept