What Is Vector Search?
Vector search finds related content by comparing embeddings. Learn how vectors, similarity, approximate nearest-neighbor search, and hybrid retrieval work together.
Yuvraj
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Recent articles
What is Inverse Document Frequency?
Inverse document frequency helps search rank rare query words above words that appear everywhere. Learn the idea with a simple docs-search example.
Yuvraj
TF-IDF: The Search Ranking Idea Behind BM25
TF-IDF is a classic lexical ranking method that scores documents using repeated query words and rare query words. Learn how it works, where it helps, and how BM25 addresses some of its limits.
Yuvraj
What is BM25? A Plain English Guide
BM25 is a keyword search ranking function that scores documents using term frequency, term rarity, and document length. Learn how it works, where it helps, and how it differs from TF-IDF.
Yuvraj