RAG Context Packager
Clean and split source docs into token-aware chunks ready for RAG pipelines.
Source tokens
0
Compacted tokens
0
Generated chunks
0
RAG-ready pack
You use this tool often? Pro includes files up to 500 MB and priority processing.
What is RAG Context Packager?
RAG Context Packager converts raw text into compact, segmented context blocks for retrieval and generation.
How to use this tool?
Paste your content, set target chunk size, and copy generated markdown chunks.
Benefits
- Automatic chunking
- Local compression
- Fewer wasted tokens
- Reusable markdown output
Frequently Asked Questions
- What does token-aware compression mean?
- It normalizes whitespace and paragraphs to reduce noisy tokens while preserving core meaning.
- Can I choose chunk size?
- Yes, target tokens per chunk are configurable.
- Can I export the result?
- Yes, a structured markdown pack is generated and can be copied directly.
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Use →What is RAG Context Packager?
RAG Context Packager converts raw text into compact, segmented context blocks for retrieval and generation.
How to use this tool?
Paste your content, set target chunk size, and copy generated markdown chunks.
Benefits
- Automatic chunking
- Local compression
- Fewer wasted tokens
- Reusable markdown output
Frequently Asked Questions
- What does token-aware compression mean?
- It normalizes whitespace and paragraphs to reduce noisy tokens while preserving core meaning.
- Can I choose chunk size?
- Yes, target tokens per chunk are configurable.
- Can I export the result?
- Yes, a structured markdown pack is generated and can be copied directly.
Similar Tools
LLM Token Counter
Count tokens in your text for GPT-4o, Claude, Gemini, and other LLMs. API cost estimation. 100% in the browser.
Use →AI Prompt Optimizer
Turn rough requests into clear, structured prompts optimized for modern AI models. Output is generated in English by design.
Use →AI Cost Planner
Estimate prompt costs across multiple models, compare budget impact, and select the most cost-effective option.
Use →