Nadhebe

RAG Chunk Size & Overlap Planner

RAG CHUNKING PARAMETERS

CHUNK METRICS & VECTOR STORE ESTIMATION
Total Chunks 223
Overlap Ratio 12.5%
Vector Store RAM Footprint (Float32)
Raw Embedding Vectors: 1.37 MB
HNSW Index Overhead (~1.5x): 2.05 MB
Pipeline Recommendations
Effective Step Size: 448 Tokens
✓ Optimal 12.5% overlap ratio prevents context loss.

RAG Text Chunking Best Practices

Chunking large documents splits raw text into semantically cohesive passages suitable for vector search embedding models. Setting an appropriate overlap ensures boundary sentences are not fragmented.

Frequently Asked Questions

Common questions about this tool.

How is chunk overlap percentage calculated? ▼

Overlap percentage is (Overlap Tokens / Chunk Tokens) * 100. Overlaps between 10% and 20% preserve semantic context across chunk boundaries.

Is my document metadata private? ▼

Yes, 100% of chunking calculations run locally inside your web browser session.

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