Lossless Compression Boosts LLM Context Windows for RAG

A new deep-dive explores lossless compression strategies to maximize information density within LLM context windows for RAG agents. Techniques like keyword extraction, deduplication, and semantic pruning reduce token count without losing data. This improves RAG performance and cuts operational costs by fitting more relevant context into limited windows.