Build a 24/7 AI Customer Assistant for Your Website in 10 Minutes

This guide shows how to create a zero‑code AI chatbot using Alibaba Cloud Function Compute and the Bailei large‑model platform, configure API keys, deploy a sample site, embed the assistant, and enhance it with a private knowledge base for accurate product support.

Alibaba Cloud Native
Alibaba Cloud Native
Alibaba Cloud Native
Build a 24/7 AI Customer Assistant for Your Website in 10 Minutes

In the digital era, businesses need 24/7 AI assistants to improve customer service and competitiveness. This solution uses Alibaba Cloud Function Compute (FC) and the Bailei large‑model service to build a Retrieval‑Augmented Generation (RAG) chatbot without writing code.

1. Create a Large‑Model Q&A Application

Use the Bailei console to create a new AI application, select the "Tongyi Qianwen‑Plus" model, and obtain the API‑KEY and Application ID. Optionally add a custom prompt (e.g., "You are XiaoZhu, helping users with product selection and usage.") to guide the model.

2. Deploy a Sample Website with Function Compute

Deploy a pre‑configured Function Compute template that references the Bailei Application ID and API‑KEY. The free trial quota covers all required resources; after the quota is exhausted, usage is billed per request.

2.1 Create the FC Application

Open the provided FC template, choose "Deploy Directly," fill in the Bailei credentials, keep other settings default, and click "Create and Deploy Default Environment" (≈1 minute).

2.2 Access the Site

After deployment, find the site URL in the environment information and verify the sample page loads.

3. Integrate the AI Assistant into the Site

Uncomment the AI‑assistant code in public/index.html of the FC function, then redeploy.

After redeployment, the site shows an AI‑assistant icon in the lower‑right corner; clicking it opens the chat window.

4. Add Private Knowledge for Better Answers

Upload a product‑specific document (e.g., a phone specification guide) to Bailei's data management, create a knowledge index (choose ADB‑PG for vector storage), and enable the knowledge retrieval switch in the application settings.

With the knowledge base linked, the assistant can accurately answer detailed product questions.

Conclusion

Following these steps, you can build a fully functional AI customer service chatbot, deploy it to a website, DingTalk, WeChat, or Enterprise WeChat, and enhance it with private knowledge—all within the free trial quota and in about ten minutes.

RAGCustomer ServiceKnowledge BaseAI Assistantfunction computeBaileino‑code deployment
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