Docs

Everything you need to start chunking.

Quickstart, concepts, API reference, and integration guides — written by the engineers who built CHUNKZA.

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Get started

Install the CLI, ingest your first corpus, and export chunks to a vector store in under five minutes.

Quickstart
Install the CLI
Your first pipeline
Conceptual overview

Chunking strategies

Understand and configure every splitting strategy CHUNKZA ships.

Layout-aware segmentation
Semantic boundary detection
Parent-child chunking
Overlap & windows
Schema-aware tables

Diagnostic panel

Inspect boundaries, embeddings, and retrieval replay.

Boundary preview
Embedding distribution map
Strategy diff
Retrieval replay

Integrations

Export to your stack and pipe chunks into your RAG runtime.

Pinecone
Weaviate
Qdrant
pgvector
Chroma
Milvus
LangChain
LlamaIndex

API reference

Programmatic access to the full CHUNKZA pipeline.

Ingestion API
Chunking API
Export API
Webhooks
Authentication

Guides

End-to-end playbooks for common scenarios.

Tuning recall on enterprise KBs
Parent-child for copilots
Research paper chunking
Support article retrieval

Versioned policies

Chunking as code. Reproducible by design.

Every pipeline is a versioned YAML policy — diffable, reviewable, and replayable. No more "why did retrieval change between releases?"

Policy files live in your repo, reviewable in PRs
Versioned and reproducible across environments
Per-section overrides for special document types
Webhooks fire on every successful export

chunkza.yml

# chunkza.yml — a versioned chunking policy
version: 1.4
source:
  type: s3
  bucket: acme-kb
  prefix: docs/
strategy:
  layout_aware: true
  semantic_boundary:
    enabled: true
    model: chunkza-boundary-v2
  parent_child:
    enabled: true
    parent_max_tokens: 1024
    child_max_tokens: 256
  overlap_tokens: 48
metadata:
  inject: [section_path, source_uri, page, acl_roles]
export:
  target: pinecone
  index: acme-kb-v3
  embeddings: text-embedding-3-large

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