weaviate and weaviate-quickstart
The quickstart is a Docker Compose configuration that simplifies deployment of the main Weaviate vector database, making them complements rather than alternatives.
About weaviate
weaviate/weaviate
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.
Built in Go for millisecond-scale performance on billions of vectors, Weaviate integrates vectorization from major providers (OpenAI, Cohere, HuggingFace) at import time or accepts pre-computed embeddings. It unifies semantic search, BM25 keyword filtering, image search, and generative RAG/reranking in a single query interface, with production features including horizontal scaling, multi-tenancy, replication, and RBAC for enterprise deployments.
About weaviate-quickstart
soulteary/weaviate-quickstart
The simplest way to get started with Weaviate, including vector transformer service definition.
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