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Elasticsearch's vector database offers you an efficient way to create, store, and search vector embeddings at scale. Combine text search and vector search ...
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A vector database is a database that stores information as vectors, which are numerical representations of data objects, also known as vector embeddings.
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Vector search leverages machine learning (ML) to capture the meaning and context of unstructured data, including text and images, transforming it into a ...
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Elastic Search AI Platform overview. Generative AI. Explore AI search capabilities optimized for running RAG workloads with a fully integrated vector database.
Elasticsearch is the leading distributed, RESTful, free and open search and analytics engine designed for speed, horizontal scalability, reliability, ...
Vector search provides the foundation for implementing semantic search for text or similarity search for images, videos, or audio. Retrieve relevant context ...
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Mar 26, 2024 · Microsoft and Elastic are thrilled to announce that Elasticsearch, the world's most downloaded vector database is an officially supported ...
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In this guide, we'll demonstrate how to get started with leveraging Elasticsearch as a vector database, which enables vector search use cases. ... Add search to ...
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Nov 17, 2023 · This guide focuses on setting up Elasticsearch for approximate k-nearest neighbor (kNN) search using the Elasticsearch APIs via HTTP or ...
Download Elasticsearch or the complete Elastic Stack (formerly ELK stack) for free and start searching and analyzing in minutes with Elastic....
Build accurate, fast, and scalable applications using vector data and similarity search. No need to maintain infrastructure, monitor services, or...