Semantic chunking

Semantic chunking is splitting text at points where the meaning shifts, often detected by comparing embeddings of neighboring sentences, rather than at fixed character or token counts.

Semantic chunking sits in the Retrieval & memory part of the Agentik {OS} glossary, which defines the words used to build and run AI agent systems.