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LlamaIndex is a framework for building LLM-powered applications. LlamaIndex helps you ingest, structure, and access private or domain-specific data. LlamaIndex.TS supports modern JavaScript runtimes such as Node.js, Deno, and Bun.
Example: Completion
Here is a basic example that uses both AI SDK and LlamaIndex together with the Next.js App Router.
The AI SDK @ai-sdk/llamaindex package uses the stream result from calling the chat method on a LlamaIndex ChatEngine or the query method on a LlamaIndex QueryEngine to pipe text to the client.
import { OpenAI, SimpleChatEngine } from 'llamaindex';
import { toUIMessageStream } from '@ai-sdk/llamaindex';
import { createUIMessageStreamResponse } from 'ai';
export const maxDuration = 60;
export async function POST(req: Request) {
const { prompt } = await req.json();
const llm = new OpenAI({ model: 'gpt-6-astra' });
const chatEngine = new SimpleChatEngine({ llm });
const stream = await chatEngine.chat({
message: prompt,
stream: true,
});
return createUIMessageStreamResponse({
stream: toUIMessageStream(stream),
});
}Then, we use the AI SDK's useCompletion method in the page component to handle the completion:
'use client';
import { useCompletion } from '@ai-sdk/react';
export default function Chat() {
const { completion, input, handleInputChange, handleSubmit } =
useCompletion();
return (
<div>
{completion}
<form onSubmit={handleSubmit}>
<input value={input} onChange={handleInputChange} />
</form>
</div>
);
}More Examples
create-llama is the easiest way to get started with LlamaIndex. It uses the AI SDK to connect to LlamaIndex in all its generated code.