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Oracle Backend for Microservices and AI allows developers to build microservices in Helidon and/or Spring Boot and provisions a "backend as a service" with Oracle Database and other infrastructure components that operate on multiple clouds. Oracle Backend for Microservices and AI vastly simplifies the task of building, testing, and operating microservices platforms for reliable, secure, and scalable enterprise applications.
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{{< hint type=[warning] icon=gdoc_fire title="Version 1.4.0 (production) released February 2025" >}}
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{{< hint type=[warning] icon=gdoc_fire title="Version 1.4.0 (production) released March 2025" >}}
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Oracle Backend for Microservices and AI Version 1.4.0 is now generally available and suitable for production use. This version supports and recommends Helidon 4.1.1, Spring Boot 3.3.x, 3.2.x, Spring 6.1 and Spring Cloud 2023.0.x, with limited backwards compatibility for Spring Boot 2.7.x.
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{{< /hint >}}
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@@ -41,6 +41,7 @@ To learn more, watch this short introductory video:
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In addition to an Oracle Autonomous Database Serverless instance, the following software components are deployed in an Oracle Cloud
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Infrastructure (OCI) Container Engine for Kubernetes cluster (OKE cluster):
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-[Oracle AI Explorer for Apps](platform/aiexpforapps/)
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-[Apache APISIX API Gateway and Dashboard](platform/apigw/)
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---
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title: "Oracle AI Microservices Sandbox"
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description: "Oracle AI Microservices Sandbox"
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title: "Oracle AI Explorer for Apps"
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description: "Oracle AI Explorer for Apps"
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keywords: "support backend oracle ai sandbox microservices database"
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---
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## Developer Preview Feature - Oracle AI Microservices Sandbox
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## Developer Preview Feature - Oracle AI Explorer for Apps
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Oracle Backend for Microservices and AI Version 1.4.0 introduces [Oracle AI Microservices Sandbox](https://github.com/oracle-samples/oaim-sandbox) as a *Developer Preview* feature.
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Oracle Backend for Microservices and AI Version 1.4.0 introduces [Oracle AI Explorer for Apps](https://github.com/oracle-samples/oaim-sandbox) as a *Developer Preview* feature.
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The Oracle AI Microservices Sandbox provides a streamlined environment where developers and data scientists can explore the potential of Generative Artificial Intelligence (GenAI) combined with Retrieval-Augmented Generation (RAG) capabilities. By integrating Oracle Database 23ai AI Vector Search, the Sandbox enables users to enhance existing Large Language Models (LLMs) through RAG.
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The Oracle AI Explorer for Apps provides a streamlined environment where developers and data scientists can explore the potential of Generative Artificial Intelligence (GenAI) combined with Retrieval-Augmented Generation (RAG) capabilities. By integrating Oracle Database 23ai AI Vector Search, the Sandbox enables users to enhance existing Large Language Models (LLMs) through RAG.
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It provides a "sandbox" for experimentation and iteration, allowing you to easily optimize a chatbot/RAG use case by exploring different models, chunking strategies, vector similarity algorithms, prompts, model parameters, memory, re-ranking, and evaluation.
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