Cut RAG Token Costs by 67% with Qdrant's Native Features
qdrant_engine · x · 2026-08-24
This article explains how to reduce RAG token costs by 67% without adding an external reranking service. The approach combines Qdrant's native ColBERT reranking, binary quantization, and sentence-level retrieval to send only the most relevant document segments to the LLM. Benchmarks show a 67.1% reduction in input tokens while keeping the reranking process internal to Qdrant, avoiding the overhead of external API calls.
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