Everything you need to fix retrieval at the source.
CHUNKZA is a complete workspace for the data layer of RAG — from ingestion to retrieval replay, every stage is inspectable.
One panel for the whole chunking lifecycle.
Stop debugging retrieval in production. Inspect every boundary, every metadata tag, every embedding cluster — before you ship a single chunk to your vector store.
- Live boundary preview with token budgets
- Per-chunk metadata and source provenance
- Embedding clusters, duplicates, and outlier flags
- Retrieval replay with score breakdowns
Source · paper.pdf
Chunks · 5
318 tokens
92 tokens
74 tokens
41 tokens
56 tokens
Recall@5
Boundary acc.
Latency
Bring any document. Keep its structure.
Multi-format ingestion
PDF, DOCX, PPTX, Markdown, HTML, Notion exports, Confluence, and raw text — all parsed into a unified structural representation.
Layout-aware segmentation
Headings, sub-headings, lists, tables, captions, and code blocks become first-class boundaries. No more slicing a table in half.
Schema-aware tables
Table headers propagate to every row chunk, so numeric and structured retrieval stays coherent and queryable.
Chunk by meaning, not by character count.
Semantic boundary detection
A trained model predicts natural topic shifts inside long passages. Chunks end where meaning ends.
Parent-child chunking
Retrieve on tight, cheap child chunks. Return the rich parent context to the model. Recall and precision in one pipeline.
Overlap & window control
Configurable overlap, sliding windows, and max-context budgets — all policy-driven and per-section overridable.
Make the invisible visible.
Chunk boundary preview
See exactly where every strategy cuts, in context, with token counts and metadata attached to each chunk.
Embedding distribution map
Project chunk embeddings into 2D space. Spot clusters, outliers, and silent duplicates that drag down retrieval.
Strategy diff
Compare any two chunking versions side by side. See which boundaries moved and what it does to recall.
Close the loop with real queries.
Retrieval replay
Replay real queries against any chunking version. Watch which chunks surfaced, in what order, with what score.
Metadata injection
Auto-tag every chunk with section path, source URI, page, and custom schema fields for query-aware retrieval.
Export anywhere
Push chunked corpora to Pinecone, Weaviate, Qdrant, pgvector, or your own store with one command.
Start chunking smarter today
Replace crude character counts with layout-aware, semantically-boundary-aware chunking. See your retrieval quality rise from the source.