Web Reference: 1 day ago · While traditional databases return results based on exact keyword match, vector databases use semantic similarity to return more contextually relevant results. You can use vector databases in a number of advanced applications, including large language models, retrieval-augmented generation, recommendation engines, and semantic search. Mar 26, 2026 · Vector databases solve a real problem: finding what is semantically similar at scale, quickly. The core idea is straightforward: embed content as vectors and search by distance. Oct 9, 2025 · A vector database is a specialized type of database designed to store, index and search high dimensional vector representations of data known as embeddings.
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