README: Weaviate is an open-source, cloud-native vector database that stores both objects and vectors, enabling semantic search at scale. It combines vector similarity search with keyword…
GitHub 项目简介: 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 a…
README: You can easily start Weaviate and a local vector embedding model with [Docker](https://docs.docker.com/desktop/). Create a `docker-compose.yml` file:
README: Install the Python client (or use another [client library](#client-libraries-and-apis)): ```bash pip install -U weaviate-client ```