Vector embeddings are the backbone of modern enterprise AI, powering everything from retrieval-augmented generation (RAG) to semantic search. But a new study from Google DeepMind reveals a fundamental ...
Vector similarity search uses machine learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable. Suppose you wanted to ...
Customers should get more relevant search results when using an Elastic-powered search engine thanks to the addition of vector search and NLP capabilities in Elastic 8.0, the company announced last ...
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