Cut RAG Token Costs by 67%: Qdrant's Native ColBERT Reranking + Binary Quantization + Sentence-Level Retrieval
qdrant_engine · x · 2026-08-24
Qdrant shows how to cut RAG token costs by 67% without adding another reranking service. By combining Qdrant's native ColBERT reranking, binary quantization, and sentence-level retrieval, only the most relevant parts of a document are sent to the LLM. Benchmark shows 67.1% fewer input tokens, with reranking inside Qdrant instead of an external API.
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