To embed a chatbot in Vue, choose one of three patterns: iframe, script snippet, or Vue-compatible widget/SDK. Mount the widget from a root layout or shell component and initialize it in lifecycle hooks so it loads once, avoids duplicate scripts, and stays active as users navigate between SPA routes.
You can embed a chatbot in React by adding a hosted chat widget script to your HTML shell, installing a React-native chat component, or rendering a hosted chat iframe. Each method lets you use a chatbot in React while balancing ease of setup, customization, and integration with your existing app layout.
To embed a chatbot in a Next.js app, load your provider’s script with the Next.js Script component instead of a raw script tag. In the App Router, add it to app/layout.tsx so the chatbot appears across all routes; in the Pages Router, place it in _app.tsx or a single page. For customgpt.ai, copy the Embed, Live Chat, or Website Copilot code and paste it into those Script blocks.
You connect Box to a chatbot by granting secure API or platform access to selected Box folders, indexing those files into the chatbot’s knowledge base, and keeping them in sync. You can do this via no-code chatbot tools, a custom Box API integration, or a CustomGPT.ai agent.
You can connect GitHub to a chatbot by either: using your chatbot platform’s GitHub connector, wiring GitHub webhooks into your own backend, or syncing repo files into a retrieval/vector database. With CustomGPT.ai, you typically connect a GitHub-backed docs site or sitemap as a website data source.
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