Architecting Sub-150ms Hybrid RAG for Voice Agents: Combining pgvector, BM25, and Async FastAPI…
中文摘要
本文介绍如何结合 pgvector、BM25 和 Async FastAPI，为语音代理构建低于 150ms 延迟的混合 RAG 系统，以实现高效的目录检索。
English Summary
This article explains building sub-150ms hybrid RAG for voice agents using pgvector, BM25, and Async FastAPI to efficiently serve large catalogs within strict latency budgets.
Original Excerpt
How we serve a 1,881-SKU industrial catalog over a voice channel without blowing the 700ms response budget and why a single Postgres… Continue reading on Medium »