Vector Search vs Keyword Search: Dense, Sparse, and Hybrid Retrieval Explained
Vector search and keyword search solve different retrieval problems. Vector search, also called dense retrieval, is useful when…
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What Is Semantic Search?
Semantic search is a way to retrieve information by matching the meaning of a query, not just the…
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How Embeddings Capture Meaning
Embeddings capture meaning by turning text, images, code, or other data into vectors: lists of numbers that place…
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Vector Embeddings Explained
A vector embedding is a dense list of numbers that represents the meaning or useful features of data…
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What Is an AI Database?
An AI database is a data system designed to store, organize, search, and retrieve information for AI applications,…
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What Is a Vector Database?
A vector database is a database built to store, index, and search data represented as vectors, which are…
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