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In an era where artificial intelligence (AI) is becoming embedded in our daily lives, the evolution of how machines process and retrieve information is paramount. Sarat Kiran‘s recent article on ...
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Vector search is the new black for enterprise databasesSoftware slingers from Redis to Teradata are bolting on smarts to stay relevant in GenAI era About two years ago, popular ...
As enterprises rush to deploy RAG systems, attack surfaces are evolving rapidly, and security professionals are rightfully racing to keep up. Vector and embedding weaknesses aren’t theoretical risks; ...
Learn how vector databases enable advanced AI applications, semantic search, and efficient data retrieval for unstructured datasets.
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Return of Redis creator bears fruit with vector set data typeIn the case of a language model, you need a probabilistic or semantic cache, and so we use our vector database underneath the covers for that with a fine-tuned embedding model that's optimized for ...
Artificial intelligence startup Cohere Inc. today launched Embed 4, its latest AI model designed to provide embeddings for ...
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