In this tutorial, you’ll learn how to create an AI agent or chatbot utilizing DigitalOcean’s GenAI platform. This platform simplifies the building, deployment, and integration processes for AI agents, making it accessible even to those without prior experience in AI. You’ll explore customization options to shape your chatbot’s functionality and appearance, collaborating with a knowledge base to enhance response accuracy during interactions.
Prerequisites
Before you start, ensure you have:
- A DigitalOcean account with access to the GenAI platform
- Basic understanding of AI/ML and chatbot frameworks
- Familiarity with web development (HTML, JavaScript, or a CMS)
Step 1: Access the DigitalOcean Platform
Log into your DigitalOcean account. If you don’t have one, you can easily create an account using your email, GitHub, or Google account. Once logged in, you will access the dashboard where you can find the GenAI platform.
Step 2: Create Your Agent
To initiate the creation of your AI agent, navigate to the Gen AI Platform or click “Create” followed by “Agents” in the dropdown menu. Enter a name for your agent and provide detailed instructions to clarify its function. You can refer to “Agent Instruction Examples” for guidance.
Configure Your Agent
- Select the LLM Model: Choose a large language model appropriate for your chatbot. For this tutorial, the "Llama 3.1B Instruct (8B)" model will be used.
- Knowledge Base: At this step, you can opt to add a knowledge base, but you’ll first create the agent without it for initial deployment.
- Click “Create Agent” to finalize the setup, and you will be directed to the agent’s overview tab.
Step 3: Adding a Knowledge Base
A knowledge base is essential for providing in-depth responses to user queries. It can consist of various sources like documents, databases, FAQs, or proprietary information.
Go to the “Resources” tab and click on “Create Knowledge Base.” Input your knowledge base’s name and select "File Upload" to add your data source. You can also specify the data center region and the type of embedding model before proceeding to create.
Once the knowledge base is established and indexed, go back to the agent’s page and attach it by selecting the newly created knowledge base from the dropdown menu.
Step 4: Validate and Test Your Agent
Navigate to the “Overview” section and click on “Experiment with agent” to test it within the DigitalOcean playground. You can type questions and see the AI’s responses, adjusting its instructions through the settings as necessary.
Step 5: Manage the Endpoint
To make your agent publicly accessible, you will need to change the endpoint setting from “Private” to “Public.” After updating, check that the status changes to “Running.”
Step 6: Customize Your Chatbot
Under the "Customize" tab, you can personalize the chatbot’s appearance by changing its name, color scheme, and greetings. You may also replace the default logo with your own. Save your customizations and preview the chatbot’s appearance.
Step 7: Adding the Chatbot to Your Website
To install the chatbot on your website, copy the provided code snippet and insert it in the footer or header of your site. This will integrate the chatbot into your web pages seamlessly.
Conclusion
This tutorial provides a comprehensive way to build an AI agent or chatbot using DigitalOcean’s GenAI platform. The entire process is user-friendly, requiring no expertise in AI. With the ability to deploy quickly and customize your chatbot, you can enhance customer engagement, automate responses, and add interactive features that significantly benefit your platform. Start building today to harness AI-driven interactions effectively.
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