What chunk size should I use?

For most RAG applications, 200-500 tokens per chunk works well. Smaller chunks improve precision but may lose context; larger chunks preserve context but reduce retrieval accuracy.

Why does overlap matter?

Overlap ensures that information at chunk boundaries isn't lost. A 10-20% overlap helps maintain context continuity between adjacent chunks.

What chunk size should I use?

For most RAG applications, 200-500 tokens per chunk works well. Smaller chunks improve precision but may lose context; larger chunks preserve context but reduce retrieval accuracy.

Why does overlap matter?

Overlap ensures that information at chunk boundaries isn't lost. A 10-20% overlap helps maintain context continuity between adjacent chunks.

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RAGチャンクプレビューアー

ドキュメントの内容を貼り付けて、RAG検索用にどのように分割されるかを視覚化。チャンクサイズ、オーバーラップ、最小トークン数を調整。

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# Getting Started with LaunchChat

LaunchChat is an AI-powered support widget that transforms your documentation into an intelligent chatbot. It answers questions based strictly on your content with citations.

## Installation

To get started, sign up for a free account at launchchat.dev. Then connect your Notion workspace or upload your documentation files.

### Connecting Notion

1. Go to the Setup page in your dashboard
2. Click "Connect Notion"
3. Authorize LaunchChat to access your workspace
4. Select the pages you want to sync

### Uploading Files

You can also upload Markdown, PDF, or DOCX files directly. Each file will be parsed and chunked automatically for optimal retrieval.

## Configuration

After connecting your content sources, configure your widget settings:

- **Confidence Threshold**: Set the minimum confidence score for answers (default: 0.7)
- **Max Output Tokens**: Control response length (default: 500)
- **Refusal Message**: Customize what the bot says when it can't answer
- **Show Related Articles**: Enable article suggestions below answers

## Embedding the Widget

Add the widget to your website with a single script tag:

```html
<script>
  window.NotionSupportConfig = { widgetId: 'your-widget-id' };
</script>
<script src="https://launchchat.dev/widget.js"></script>
```

The widget will appear as a floating chat button in the bottom-right corner of your page.

最大トークン: 400

オーバーラップ: 50

最小トークン: 30

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RAG Chunk Previewerについて

See exactly how your documents will be split into chunks for retrieval-augmented generation (RAG) systems. Adjust chunk size, overlap, and minimum token thresholds. Visualize chunk boundaries, token counts, and overlap regions to optimize your RAG pipeline.

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これはまさにLaunchChatがドキュメントを処理する方法です。Notionを接続して5分でデプロイ。

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Visualizing chunks? LaunchChat handles the entire RAG pipeline — from chunking to embedding to retrieval to answer generation.

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