{"id":27268014,"url":"https://github.com/leroyanders/weaviate-k8s-aws","last_synced_at":"2026-04-13T21:01:18.915Z","repository":{"id":285110336,"uuid":"956775772","full_name":"leroyanders/weaviate-k8s-aws","owner":"leroyanders","description":"This repository provides all necessary configurations and scripts to deploy the Weaviate vector database locally or on AWS EKS. 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The deployment includes support for the `img2vec-neural` and `text2vec-openai` models.\n\n## Overview\nWeaviate is a scalable, open-source vector search engine that allows efficient similarity searches across various data types. This setup provides:\n- **Weaviate** as the core vector database\n- **img2vec-neural** for image vectorization\n- **text2vec-openai** for text embeddings\n- **Persistent storage** configurations\n- **Ingress and networking setup**\n\n## Prerequisites\n- Install [Docker](https://www.docker.com/)\n- Install [kubectl](https://kubernetes.io/docs/tasks/tools/)\n- Install [AWS CLI](https://aws.amazon.com/cli/) (for AWS deployment)\n- Install [eksctl](https://eksctl.io/) (for AWS EKS management)\n\n## Deploying with `deploy-k8s`\nThe `deploy-k8s` script automates the deployment and update process for both local and AWS environments.\n\n### Usage\n```sh\ndeploy-k8s deploy|update prod|dev\n```\n\n#### What the script does:\n1. **Deployment or Update**: Installs or updates the Weaviate stack.\n2. **Namespace Management**: Ensures Kubernetes namespaces exist.\n3. **Storage Setup**: Configures persistent volume claims and storage classes.\n4. **Secrets Handling**: Manages credentials for Weaviate and external services.\n5. **Ingress Configuration**: Sets up networking for external access.\n6. **Model Deployment**: Deploys Weaviate along with `img2vec-neural` and `text2vec-openai` models.\n7. **Verification**: Ensures all services are running correctly.\n\n#### Examples\n- Deploy to production:\n  ```sh\n  deploy-k8s deploy prod\n  ```\n- Update development environment:\n  ```sh\n  deploy-k8s update dev\n  ```\n\n### Notes\n- Ensure the security groups and IAM roles are correctly configured for EKS.\n- Update `k8s/[dev|prod]/config/secret-weaviate.yaml` with the correct credentials before applying.\n- Check Kubernetes pod statuses using:\n  ```sh\n  kubectl get pods -n weaviate\n  ```\n\nThis guide helps you efficiently set up and manage a Weaviate-based vector search solution with integrated AI models. 🚀\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fleroyanders%2Fweaviate-k8s-aws","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fleroyanders%2Fweaviate-k8s-aws","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fleroyanders%2Fweaviate-k8s-aws/lists"}