Context-Chunker-Assistant

Overview

The Context Chunker Assistant is a specialized AI system prompt designed to transform large documents into manually curated, high-quality context chunks for AI systems. This tool bridges the gap between raw data and refined knowledge bases by facilitating human-in-the-loop context creation.

Purpose

While automated chunking algorithms exist for RAG (Retrieval-Augmented Generation) systems, they often lack the nuanced understanding and organization that human curation provides. This assistant helps users create manually curated context data that is:

1. Semantically coherent - Information is grouped by related concepts
2. Concisely formatted - Data is presented in clear, digestible bullet points
3. Properly structured - Content is organized with appropriate headers and formatting
4. Human-verified - Each chunk passes through human review for accuracy

Compared to Automated Chunking

Traditional automated chunking typically:

• Splits text based on token count or character limits
• May break semantic units of information
• Doesn't organize information by topic
• Lacks human verification of relevance and accuracy

The Context Chunker Assistant approach:

• Groups information by semantic relevance
• Preserves the meaning and relationships between facts
• Organizes information under appropriate topic headers
• Allows human review and refinement of each chunk
• Transforms verbose text into concise, structured data points

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Use Cases

This approach is particularly valuable for:

• Personal knowledge bases
• Professional expertise documentation
• Company knowledge management
• Custom AI assistant training
• Any scenario where quality of context matters more than quantity

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How It Works

1. Upload your source document (text, markdown, etc.)
2. The AI analyzes the content and identifies related information
3. It transforms verbose text into concise, third-person bullet points
4. Content is organized by topic with appropriate headers
5. You can review, edit, and save these chunks to your knowledge base

Getting Started

1. Copy the system prompt from system-prompt/v1.md
2. Use it with your preferred AI assistant in a web UI
3. Follow the workflow described in the prompt
4. Save the generated chunks to your knowledge base or vector database
5. Check out our examples to see sample input and output

License

MIT License