# Semantic chunking now supports any embedder, including custom providers

> SemanticChunking now works with all Agno embedders (e.g., Azure OpenAI, Mistral) and custom chonkie BaseEmbeddings via a wrapper, with new parameters for finer control.

- Published: 2025-12-19
- Author: Agno Team
- Category: Changelog
- Canonical: https://agno-com-nine.vercel.app/articles/semantic-chunking-now-supports-any-embedder-including-custom-providers
- Markdown: https://agno-com-nine.vercel.app/articles/semantic-chunking-now-supports-any-embedder-including-custom-providers.md

SemanticChunking now works with all Agno embedders (e.g., Azure OpenAI, Mistral) and custom chonkie BaseEmbeddings via a wrapper, with new parameters for finer control. This expands model choice, helps optimize cost/latency, and reduces vendor lock-in without refactoring pipelines.

Details:

- Plug in your preferred embedding provider with minimal configuration
- Tune chunk sizes and thresholds to match corpus and performance goals
- Maintain consistent chunking strategies across environments

Who this is for: RAG builders and platform teams optimizing retrieval quality and TCO.