Unlocking the Full Potential of Your RAG System
This blog explores optimizing Retrieval-Augmented Generation (RAG) systems by testing various chunking and retrieval methods. Among static, overlap, and agentic chunking, agentic paired with similarity search emerged as the best-performing combination. While agentic chunking requires more time and resources, its superior accuracy and relevance make it an excellent choice for high-quality RAG setups. The post provides insights, testing methodology, and recommendations for developers to implement these advanced techniques efficiently.
