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ibm_catalog.json

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"short_description": "Automate RAG deployment with supporting IBM Cloud and watsonx services, embed your enterprise data in generative AI solutions.",
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"long_description": "Looking for the released version? Go [here](https://cloud.ibm.com/catalog/7a4d68b4-cf8b-40cd-a3d1-f49aff526eb3/architecture/Retrieval_Augmented_Generation_Pattern-5fdd0045-30fc-4013-a8bc-6db9d5447a52-global). Stay here if you want to try an experimental version with upcoming features. \n\n Utilize data from your enterprise to achieve productivity gains in activities related to question/answer conversations, content search, summarization and generation. RAG can be deployed in multiple configurations and is applicable to various industry use cases and solutions.\n\nThis deployable architecture provides a comprehensive foundation for trust, observability, security, and regulatory compliance by configuring and deploying various services and a sample application for a [RAG pattern](https://cloud.ibm.com/docs/pattern-genai-rag?topic=pattern-genai-rag-genai-pattern), including:\n- Configuring IBM Cloud Account with best practices from [IBM Cloud Framework for Financial Services](https://cloud.ibm.com/docs/framework-financial-services?topic=framework-financial-services-about)\n- Deploying key and secrets management services for storage and management of encryption keys and secrets\n- Deploying controls for continuous compliance\n- Deploying observability services for application and platform logging and monitoring\n- Deploying a suite of watsonx services to provide generative AI RAG capabilities\n- Deploying content databases for storing vector embeddings of the documents and content search/retrieval\n- Deploying a sample application in a variety of run times including CI/CD/CC pipelines for secure application lifecycle management\n\nThe above configured and deployed services enable a secure and trustworthy deployment of generative AI applications on IBM Cloud.\n\nThe configurations are flexible and be changed to meet the needs for several types of RAG patterns depending on the chosen combination of technologies and services.\n\nThe generative AI RAG pattern services include:\n- [watsonx.ai](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/welcome-main.html?context=wx)\n- [watsonx.data](https://cloud.ibm.com/docs/watsonxdata) (with Milvus)\n- [watsonx.governance](https://dataplatform.cloud.ibm.com/docs/content/svc-welcome/aiopenscale.html?context=wx)\n- [watsonx Assistant](https://cloud.ibm.com/docs/watson-assistant?topic=watson-assistant-welcome-new-assistant)\n- [watsonx Orchestrate](https://www.ibm.com/docs/en/watsonx/watson-orchestrate/current)\n- [Watson Discovery](https://cloud.ibm.com/docs/discovery-data)\n- [Elasticsearch](https://cloud.ibm.com/docs/databases-for-elasticsearch) Enterprise and Platinum edition\n\nThe supporting services include:\n- [Secrets Manager](https://cloud.ibm.com/docs/secrets-manager)\n- [Key Protect](https://cloud.ibm.com/docs/key-protect)\n- [Security and Compliance Center](https://cloud.ibm.com/docs/security-compliance)\n- [Event Notifications](https://cloud.ibm.com/docs/event-notifications?topic=event-notifications-getting-started)\n- [Logs](https://cloud.ibm.com/docs/cloud-logs)\n- [Monitoring](https://cloud.ibm.com/docs/monitoring?topic=monitoring-getting-started)\n- [Object Storage](https://cloud.ibm.com/docs/cloud-object-storage?topic=cloud-object-storage-getting-started-cloud-object-storage)\n- [Continuous Delivery](https://cloud.ibm.com/docs/ContinuousDelivery) toolchains\n- [Container Registry](https://cloud.ibm.com/docs/Registry)\n\nA [sample RAG application](https://github.com/IBM/gen-ai-rag-watsonx-sample-application) is deployed to [Code Engine](https://cloud.ibm.com/docs/codeengine) or [Red Hat OpenShift](https://cloud.ibm.com/docs/openshift) cluster.\n\nBy leveraging this architecture, you can accelerate your deployment and tailor it to meet your unique business needs and enterprise goals.",
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"long_description": "Looking for the released version? Go [here](https://cloud.ibm.com/catalog/7a4d68b4-cf8b-40cd-a3d1-f49aff526eb3/architecture/Retrieval_Augmented_Generation_Pattern-5fdd0045-30fc-4013-a8bc-6db9d5447a52-global). Stay here if you want to try an experimental version with the [Optional and swappable components](https://cloud.ibm.com/docs/secure-enterprise?topic=secure-enterprise-choose-plan-process#optional-swappable) capability. \n\n Utilize data from your enterprise to achieve productivity gains in activities related to question/answer conversations, content search, summarization and generation. RAG can be deployed in multiple configurations and is applicable to various industry use cases and solutions.\n\nThis deployable architecture provides a comprehensive foundation for trust, observability, security, and regulatory compliance by configuring and deploying various services and a sample application for a [RAG pattern](https://cloud.ibm.com/docs/pattern-genai-rag?topic=pattern-genai-rag-genai-pattern), including:\n- Configuring IBM Cloud Account with best practices from [IBM Cloud Framework for Financial Services](https://cloud.ibm.com/docs/framework-financial-services?topic=framework-financial-services-about)\n- Deploying key and secrets management services for storage and management of encryption keys and secrets\n- Deploying controls for continuous compliance\n- Deploying observability services for application and platform logging and monitoring\n- Deploying a suite of watsonx services to provide generative AI RAG capabilities\n- Deploying content databases for storing vector embeddings of the documents and content search/retrieval\n- Deploying a sample application in a variety of run times including CI/CD/CC pipelines for secure application lifecycle management\n\nThe above configured and deployed services enable a secure and trustworthy deployment of generative AI applications on IBM Cloud.\n\nThe configurations are flexible and be changed to meet the needs for several types of RAG patterns depending on the chosen combination of technologies and services.\n\nThe generative AI RAG pattern services include:\n- [watsonx.ai](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/welcome-main.html?context=wx)\n- [watsonx.data](https://cloud.ibm.com/docs/watsonxdata) (with Milvus)\n- [watsonx.governance](https://dataplatform.cloud.ibm.com/docs/content/svc-welcome/aiopenscale.html?context=wx)\n- [watsonx Assistant](https://cloud.ibm.com/docs/watson-assistant?topic=watson-assistant-welcome-new-assistant)\n- [watsonx Orchestrate](https://www.ibm.com/docs/en/watsonx/watson-orchestrate/current)\n- [Watson Discovery](https://cloud.ibm.com/docs/discovery-data)\n- [Elasticsearch](https://cloud.ibm.com/docs/databases-for-elasticsearch) Enterprise and Platinum edition\n\nThe supporting services include:\n- [Secrets Manager](https://cloud.ibm.com/docs/secrets-manager)\n- [Key Protect](https://cloud.ibm.com/docs/key-protect)\n- [Security and Compliance Center](https://cloud.ibm.com/docs/security-compliance)\n- [Event Notifications](https://cloud.ibm.com/docs/event-notifications?topic=event-notifications-getting-started)\n- [Logs](https://cloud.ibm.com/docs/cloud-logs)\n- [Monitoring](https://cloud.ibm.com/docs/monitoring?topic=monitoring-getting-started)\n- [Object Storage](https://cloud.ibm.com/docs/cloud-object-storage?topic=cloud-object-storage-getting-started-cloud-object-storage)\n- [Continuous Delivery](https://cloud.ibm.com/docs/ContinuousDelivery) toolchains\n- [Container Registry](https://cloud.ibm.com/docs/Registry)\n\nA [sample RAG application](https://github.com/IBM/gen-ai-rag-watsonx-sample-application) is deployed to [Code Engine](https://cloud.ibm.com/docs/codeengine) or [Red Hat OpenShift](https://cloud.ibm.com/docs/openshift) cluster.\n\nBy leveraging this architecture, you can accelerate your deployment and tailor it to meet your unique business needs and enterprise goals.",
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"offering_docs_url": "https://github.com/terraform-ibm-modules/stack-retrieval-augmented-generation/blob/main/README.md",
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"offering_icon_url": "https://globalcatalog.cloud.ibm.com/api/v1/1082e7d2-5e2f-0a11-a3bc-f88a8e1931fc/artifacts/solution.svg",
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"provider_name": "IBM",

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