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The **Oracle AI Explorer for Apps** (the **AI Explorer**) 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 Optimizer and Toolkit** (the **AI Optimizer**) 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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## AI Explorer Features
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## AI Optimizer Features
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-[Configuring Embedding and Chat Models](https://oracle-samples.github.io/ai-explorer/client/configuration/model_config)
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-[Splitting and Embedding Documentation](https://oracle-samples.github.io/ai-explorer/client/tools/split_embed)
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## Getting Started
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The **AI Explorer** is available to install in your own environment, which may be a developer's desktop, on-premises data center environment, or a cloud provider. It can be run either on bare-metal, within a container, or in a Kubernetes Cluster.
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The **AI Optimizer** is available to install in your own environment, which may be a developer's desktop, on-premises data center environment, or a cloud provider. It can be run either on bare-metal, within a container, or in a Kubernetes Cluster.
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For more information, including more details on **Setup and Configuration** please visit the [documentation](https://oracle-samples.github.io/ai-explorer).
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1. Navigate to `http://localhost:8501`.
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1.[Configure](https://oracle-samples.github.io/ai-explorer/client/configuration) the **Explorer**.
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1.[Configure](https://oracle-samples.github.io/ai-explorer/client/configuration) the **AI Optimizer**.
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#### Container Installation
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```bash
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cd src/
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podman build -t ai-explorer-aio .
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podman build -t ai-optimizer-aio .
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```
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1. Start the Container:
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```bash
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podman run -p 8501:8501 -it --rm ai-explorer-aio
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podman run -p 8501:8501 -it --rm ai-optimizer-aio
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```
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1. Navigate to `http://localhost:8501`.
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1.[Configure](https://oracle-samples.github.io/ai-explorer/client/configuration/index.html) the **Explorer**.
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1.[Configure](https://oracle-samples.github.io/ai-explorer/client/configuration/index.html) the **AI Optimizer**.
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##### Got OCI?
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The **AI Optimizer** can be deployed with an Oracle Autonomous Database 23ai using infrastructure as code. Deploy the **AI Optimizer** in Oracle Cloud Infrastructure using OCI Resource Manager:
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[![Deploy to Oracle Cloud][magic_button]][magic_arch_stack]
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# Oracle AI Explorer for Apps - Documentation
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# Oracle AI Optimizer & Toolkit - Documentation
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## Description
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This directory contains the documentation for the the [**Oracle AI Explorer for Apps**](https://github.com/oracle-samples/ai-explorer).
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This directory contains the documentation for the the [**Oracle AI Optimizer & Toolkit**](https://github.com/oracle-samples/ai-explorer).
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## Getting Started - Documentation
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The **Oracle AI Explorer for Apps** documentation is powered by [Hugo](https://gohugo.io/) using the [Relearn](https://github.com/McShelby/hugo-theme-relearn) theme.
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The **Oracle AI Optimizer & Toolkit** documentation is powered by [Hugo](https://gohugo.io/) using the [Relearn](https://github.com/McShelby/hugo-theme-relearn) theme.
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To contribute to the documentation, install [Hugo](https://gohugo.io/installation/). Installation instructions vary per Operating System.
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title = ""
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menus = 'main'
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archetype = "home"
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description = 'Oracle AI Explorer for Apps'
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keywords = 'oracle explorer microservices development genai rag'
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description = './oai-explorer/docs'
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keywords = 'oracle optimizer toolkit microservices development genai rag'
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<!--
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The {{< short_app_ref >}} is available to install in your own environment, which may be a developer's desktop, on-premises data center environment, or a cloud provider. It can be run either on bare-metal, within a container, or in a Kubernetes Cluster.
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{{% notice style="code"title="Prefer a Step-by-Step?"icon="circle-info"%}}
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<!-- Hard-coding AI Explorer to avoid unsafe HTML, this is an exception -->
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The [Walkthrough](walkthrough) is a great way to familiarize yourself with the **AI Explorer** and its features in a development environment.
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<!-- Hard-coding AI Optimizer to avoid unsafe HTML, this is an exception -->
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The [Walkthrough](walkthrough) is a great way to familiarize yourself with the **AI Optimizer** and its features in a development environment.
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{{% /notice %}}
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## Prerequisites
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1. Build the image.
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From inside the `src/` directory, build the *ai-explorer-aio* image:
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From inside the `src/` directory, build the *ai-optimizer-aio* image:
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