Add an Embedded AI Chat to your Nextra docs

What is Nextra

Nextra is a framework for creating content-focused websites using Next.js and markdown.

Get an API key

Go to the Inkeep Dashboard
Select your project under Projects
Go to the Integrations tab
Click on Create integration
Select Web
Provide a Name.
Specify a URL for where this integration will be used.
For production API keys, leave Enforce referrer URL checked.
Click on Create
Click the Example < /> button to get your API key and view suggested settings

For local or staging API keys, see here.

Copy and add the apiKey to your environment variables:

.env

NEXT_PUBLIC_INKEEP_API_KEY="INKEEP_API_KEY"

Install the component library

npm install @inkeep/cxkit-react

yarn add @inkeep/cxkit-react

Customize your settings

Define your Inkeep settings.

const baseSettings = {
  apiKey,
  primaryBrandColor: "#26D6FF", // your brand color, widget color scheme is derived from this
  organizationDisplayName: "Inkeep",
  // ...optional settings
};
 
const modalSettings = {
  // optional settings
};
 
const searchSettings = {
  // optional settings
};
 
const aiChatSettings = {
  // optional settings
  aiAssistantAvatar: "/img/logo.svg", // use your own ai assistant avatar
  exampleQuestions: [
    "Example question 1?",
    "Example question 2?",
    "Example question 3?",
  ],
};

import type {
  InkeepAIChatSettings,
  InkeepSearchSettings,
  InkeepBaseSettings,
  InkeepModalSettings,
} from "@inkeep/cxkit-react";
 
const baseSettings: InkeepBaseSettings = {
  apiKey,
  primaryBrandColor: "#26D6FF", // your brand color, widget color scheme is derived from this
  organizationDisplayName: "Inkeep",
  // ...optional settings
};
 
const modalSettings: InkeepModalSettings = {
  // optional settings
};
 
const searchSettings: InkeepSearchSettings = {
  // optional settings
};
 
const aiChatSettings: InkeepAIChatSettings = {
  // optional settings
  aiAssistantAvatar: "/img/logo.svg", // use your own ai assistant avatar
  exampleQuestions: [
    "Example question 1?",
    "Example question 2?",
    "Example question 3?",
  ],
};

Define the component

Create an InkeepEmbeddedChat.tsx file for the Embedded Chat component.

import { useEffect, useState } from "react";
 
export default function InkeepEmbeddedChat() {
  const [EmbeddedChat, setEmbeddedChat] = useState(null);
 
  // load the library asynchronously
  useEffect(() => {
    const loadEmbeddedChat = async () => {
      try {
        const { InkeepEmbeddedChat } = await import("@inkeep/cxkit-react");
        setEmbeddedChat(() => InkeepEmbeddedChat);
      } catch (error) {
        console.error("Failed to load EmbeddedChat:", error);
      }
    };
 
    loadEmbeddedChat();
  }, []);
 
  const embeddedChatProps = {
    baseSettings,
    aiChatSettings,
  };
 
  return EmbeddedChat && <EmbeddedChat {...embeddedChatProps} />;
}

import { ReactNode, useEffect, useState } from "react";
import type { InkeepEmbeddedChatProps } from "@inkeep/cxkit-react";
 
export default function InkeepEmbeddedChat() {
  const [EmbeddedChat, setEmbeddedChat] =
    useState<(e: InkeepEmbeddedChatProps) => JSX.Element | ReactNode>();
 
  // load the library asynchronously
  useEffect(() => {
    const loadEmbeddedChat = async () => {
      try {
        const { InkeepEmbeddedChat } = await import("@inkeep/cxkit-react");
        setEmbeddedChat(() => InkeepEmbeddedChat);
      } catch (error) {
        console.error("Failed to load EmbeddedChat:", error);
      }
    };
 
    loadEmbeddedChat();
  }, []);
 
  const embeddedChatProps: InkeepEmbeddedChatProps = {
    baseSettings,
    aiChatSettings,
  };
 
  return EmbeddedChat && <EmbeddedChat {...embeddedChatProps} />;
}

Use the component

Now to add the InkeepEmbeddedChat.tsx component follow these steps:

Create a new page - Ask AI ✨

    touch pages/ask-ai.mdx

Initialize the page in the _meta.json file:

_meta.json

{
  // ...
  "ask-ai": "Ask AI ✨"
  // ...
}

Add a widget to the page:

ask-ai.mdx

# Ask AI ✨
 
import InkeepEmbeddedChat from "@/components/InkeepEmbeddedChat";
 
<InkeepEmbeddedChat />

For a full list of customizations, check out the Embedded Chat documentation.