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. 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.