Chunk around meaning, not markup
Preserve heading boundaries, keep nearby explanatory paragraphs together and avoid splitting code examples from the paragraphs that explain them.
Chunk qualitySEO landing
Semantic chunking starts with clean structure
Semantic chunking does not begin at the chunker. It begins at extraction. If the source is noisy or flattened, chunk boundaries become arbitrary and retrieval quality drops.
Primary use
Chunk by meaning instead of arbitrary token windows by preserving headings, lists and tables before segmentation.
Recommended flow
Fetch, clean, measure tokens, then hand consistent Markdown to agents or retrieval systems.
Next step
Use the Playground to compare raw HTML against optimized output before integrating the API.
A better input shape for chunkers
AIngestor produces Markdown with stable hierarchy so downstream chunkers can split on H2, H3, tables and procedure lists instead of trying to infer semantics from arbitrary DOM wrappers.
Internal links
Related technical paths
Token efficiency
Context optimization for LLM retrieval
Reduce noisy HTML and preserve semantic structure so every prompt and chunk carries more useful signal per token.
Preparation layer
LLM-ready content from messy HTML
Prepare documents for models with clean headings, preserved code and lower-noise context windows.
Agent access
Reader API for AI systems
Expose web content to agents and retrieval systems through a reader-style API that prioritizes clarity over browser markup.