RAG Chunk Size vs Answer Accuracy
Performance analysis of different chunk sizes in RAG systems, measuring accuracy, response time, and hallucination rates.
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RAG Performance Chunking Accuracy
Key Insights
- Optimal chunk size is 1024-4096 tokens for most use cases
- Larger chunks reduce hallucination but increase response time
- Accuracy plateaus around 4096 tokens
- Response time decreases logarithmically with chunk size
Use Cases
RAG System Design Performance Optimization AI Architecture