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As artificial intelligence reshapes marketing technology, vector search has emerged as a critical capability for 2025 data strategies. For marketing leaders, understanding how this technology ...
A young computer scientist and two colleagues show that searches within data structures called hash tables can be much faster than previously deemed possible.
How to build a local retrieval-augmented generation application using Postgres, the pgvector extension, Ollama, and the Llama 3 large language model.
We look at the use of vector data in AI, how vector databases work, plus vector embedding, the challenges for storage of vector data and the key suppliers of vector database products ...
The company suggests that the introduction of vector search in Hazelcast Platform enables users to deploy a end-to-end pipeline to query structured and unstructured data with the flexibility to ...
PALO ALTO, Calif., July 30, 2024 — Hazelcast, Inc. today announced the introduction of vector search in the latest release of its flagship product, Hazelcast Platform. The platform delivers a core ...
In the data management and retrieval landscape, vector databases have emerged as a revolutionary force, transforming how businesses and tech enthusiasts harness the power of complex, high-dimensional ...
An analysis of vector database options would be incomplete without a mention of data protection i.e. a business needs to plan for contingencies such as deletions, misconfigurations or cyber ...
The incubating Java Vector API gives software developers access to fast and efficient SIMD operations. Here's an example of how to solve the prefix sum problem with SIMDs and Vectors.
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