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- The AI-native database developers love | Weaviate
Weaviate facilitates fast development of generative AI applications by our team, removing the need for creating boilerplate code, setting up databases, and managing infrastructure
- GitHub - weaviate weaviate: Weaviate is an open-source vector . . .
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database
- Weaviate | Weaviate Docs
Weaviate is an open source database of the type vector search engine Weaviate allows you to store JSON documents in a class property-like fashion while attaching machine learning vectors to these documents to represent them in vector space
- Getting Started with Weaviate: A Beginners Guide to Search . . .
Getting Started with Weaviate: A Beginner’s Guide to Search with Vector Databases If you landed on this article, I assume you have been playing around with building an app with a large language model (LLM) and came across the term vector database The tool landscape around building apps with LLMs is growing rapidly, with tools such as LangChain or LlamaIndex gaining popularity In a recent
- What Is Weaviate? A Semantic Search Database - Oracle
Weaviate, owned by the Dutch startup of the same name, is a specialized vector database that excels at rapid searches across billions of vectors Its search architecture uses database sharding, a technique that spreads information across many servers, to increase scalability and performance
- Weaviate Tutorial: Unlocking the Power of Vector Search
Weaviate is an open-source, cloud-native, modular, real-time vector search engine that enables you to store data objects and vector embeddings and query them based on similarity measures
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