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.

निःशुल्क

RAG चंक प्रीव्यूअर

दस्तावेज़ सामग्री पेस्ट करें और देखें कि यह RAG पुनः प्राप्ति के लिए चंक्स में कैसे विभाजित होता है। चंक आकार, ओवरलैप और न्यूनतम टोकन को समायोजित करें।

100% निःशुल्ककोई साइनअप आवश्यक नहींआपके ब्राउज़र में चलता है

# 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.

अधिकतम टोकन: 400

ओवरलैप: 50

न्यूनतम टोकन: 30

1,404 / 100,000 chars

RAG Chunk Previewer के बारे में

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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सभी उपकरण देखें

यह बिल्कुल यही है कि LaunchChat आपके दस्तावेज़ों को कैसे संसाधित करता है। Notion को कनेक्ट करें और 5 मिनट में तैनात करें।

कोई क्रेडिट कार्ड आवश्यक नहीं

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

Free tier available. No credit card required.

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