add weaviate tutorial #187
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samos123
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nstogner
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docs/tutorials/weaviate.md
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| Run the following command to deploy KubeAI: | ||
| ```bash | ||
| helm upgrade --install kubeai kubeai/kubeai \ | ||
| -f ./kubeai-values.yaml --reuse-values |
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No need for --reuse-values here.
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Hmm I kept it so people don't accidentally delete their existing models.
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| # Weaviate with local autoscaling embedding and generative models | |||
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| Weaviate is a vector search engine that can integrate seamlessly with KubeAI's embedding and generative models. This tutorial demonstrates how to deploy both KubeAI and Weaviate in a Kubernetes cluster, using KubeAI as the OpenAI endpoint for Weaviate. | |||
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Maybe add a quick blurb about why you might want to do this: all of your data stays within your cluster.
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