# LlamaIndex

[LlamaIndex](https://ts.llamaindex.ai/) is a framework for building LLM-powered applications. LlamaIndex helps you ingest, structure, and access private or domain-specific data. LlamaIndex.TS offers the core features of LlamaIndex for Python for popular runtimes like Node.js (official support), Vercel Edge Functions (experimental), and Deno (experimental).

## Example: Completion

Here is a basic example that uses both AI SDK and LlamaIndex together with the [Next.js](https://nextjs.org/docs) App Router.

The AI SDK `@ai-sdk/llamaindex` package uses the stream result from calling the `chat` method on a [LlamaIndex ChatEngine](https://ts.llamaindex.ai/modules/chat_engine) or the `query` method on a [LlamaIndex QueryEngine](https://ts.llamaindex.ai/modules/query_engines) to pipe text to the client.

```tsx filename="app/api/completion/route.ts" highlight="17"
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-4o' });
  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`](/docs/ai-sdk-ui/completion) method in the page component to handle the completion:

```tsx filename="app/page.tsx"
'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](https://github.com/run-llama/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.


## Navigation

- [LangChain](/providers/adapters/langchain)
- [LlamaIndex](/providers/adapters/llamaindex)


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