Source: www.docker.com
How to Get Started with the Weaviate Vector Database on Docker
Vector databases have been getting a lot of attention since the developer community realized how they can enhance large language models (LLMs). https://weaviate.io/ is an open source vector database that enables modern search capabilities, such as vector search, hybrid search, and generative search.
This article explains what https://weaviate.io/blog/what-is-a-vector-database are and highlights key features of the Weaviate vector database.
Additionally, some vector databases, like Weaviate, store the vector embeddings and the original data object, which lets you combine traditional search with modern vector search for more accurate search results.
Lightning-fast vector search: You can perform lightning-fast pure vector similarity search over raw vectors or data objects, even with filters.
This article explains what https://weaviate.io/blog/what-is-a-vector-database are and highlights key features of the Weaviate vector database.
Additionally, some vector databases, like Weaviate, store the vector embeddings and the original data object, which lets you combine traditional search with modern vector search for more accurate search results.
Lightning-fast vector search: You can perform lightning-fast pure vector similarity search over raw vectors or data objects, even with filters.
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