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docs/blog/Introducing.md

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</dependency>
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```
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This `orchestration` module lets you use the generative AI Hub orchestration service with templating, content filtering, and data masking from within your applications.
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The orchestration service streamlines AI interactions while ensuring adherence to content safety guidelines.
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This `orchestration` module lets you use the [Generative AI Hub Orchestration Service](https://help.sap.com/docs/sap-ai-core/sap-ai-core-service-guide/orchestration) with templating, content filtering, and data masking from within your applications.
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The Orchestration Service streamlines AI interactions while ensuring adherence to content safety guidelines.
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* Templating: Build dynamic prompts with placeholders to tailor AI interactions to user inputs.
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* Content Filtering: Apply filters to maintain compliance with content safety guidelines.
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* Data Masking: Anonymize and pseudonymize sensitive data.
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* Grounding: Add external data sources for contextually relevant information (planned for Q1 2025).
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**Example:** Write a simple chat completion.
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**Example SDK code:** Write a simple chat completion.
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```java
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var client = new OrchestrationClient();
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String messageResult = result.getContent();
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```
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You can learn more about the orchestration service capabilities [here](https://github.com/SAP/ai-sdk-java/blob/main/docs/guides/ORCHESTRATION_CHAT_COMPLETION.md).
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You can learn more about the SDK's capabilities for Orchestration Service [here](https://github.com/SAP/ai-sdk-java/blob/main/docs/guides/ORCHESTRATION_CHAT_COMPLETION.md).
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## AI Management
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Automate tasks such as creating AI Core artifacts, configurations, and deployments, executing batch inference jobs, as well as managing Docker registries and object storage for training data.
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The `core` module provides tools for workflow and scenario management within SAP AI Core.
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* Artifact Management: Register and organize datasets and model artifacts.
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* Configuration Management: Set up configurations for various models and use cases.
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* Deployment Management: Deploy AI models and manage their lifecycle within SAP AI Core.
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* Artifact management: register and organize datasets and model artifacts.
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* Configuration management: set up configurations for various models and use cases.
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* Deployment management: deploy AI models and manage their lifecycle within SAP AI Core.
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**Example:** Create a deployment in SAP AI Core.
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**Example SDK code:** Create a deployment in SAP AI Core.
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```java
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var api = new DeploymentApi();
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AiExecutionStatus status = deployment.getStatus();
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```
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You can learn more about the SAP AI Core capabilities [here](https://github.com/SAP/ai-sdk-java/blob/main/docs/guides/AI_CORE_DEPLOYMENT.md).
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You can learn more about the SDK's capabilities for SAP AI Core [here](https://github.com/SAP/ai-sdk-java/blob/main/docs/guides/AI_CORE_DEPLOYMENT.md).
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## Generative AI with Foundation Models and OpenAI
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The `openai` module, along with other modules in the `com.sap.ai.sdk.foundationmodels` group, enables streamlined access to specific generative AI models available through the Generative AI Hub.
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The module provides a simplified interface focused on direct model interactions, ideal for developers who require direct access to foundation models for inference and embedding requests without additional orchestration features.
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**Example:** Write a simple chat completion.
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**Example SDK code:** Write a simple chat completion.
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```java
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var result =
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String resultMessage = result.getContent();
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```
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You can learn more about the foundation models and OpenAI specific capabilities [here](https://github.com/SAP/ai-sdk-java/blob/main/docs/guides/OPENAI_CHAT_COMPLETION.md).
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You can learn more about the SDK's capabilities for foundation models and OpenAI specific features [here](https://github.com/SAP/ai-sdk-java/blob/main/docs/guides/OPENAI_CHAT_COMPLETION.md).
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## Getting Started
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You will need _Java 17_ or higher.
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_Spring Boot_ or _SAP CAP_ as a framework is recommended, but not required.
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_Spring Boot_ or [_SAP Cloud Application Programming Model (CAP)_](https://cap.cloud.sap/docs/) as a framework is recommended, but not required.
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To explore these packages further, check out [our sample project](https://github.com/SAP/ai-sdk-java/tree/main/sample-code/spring-app), which shows the usage of the various SDK packages.
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## Support and Feedback

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