Eliminating the Precision–Latency Trade-Off in Large-Scale RAG

Retrieval-Augmented Generation (RAG) systems constantly face a trade-off: Precise results often mean higher latency and cost, while faster responses risk losing context and accuracy. The solution isn’t choosing one or the other. It’s redesigning retrieval. Let’s explore three techniques that together eliminate this trade-off: multiphase ranking, layered retrieval and semantic chunking.

When combined, they create a retrieval stack that balances speed, scalability and precision.

Multiphase Ranking: Incremental Refinement of Results

At the…