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Context Arithmetic: A 5-Stage Retrieval Pipeline for Voice Agents (500K docs to 400 tokens in <200ms)

This story is from 2026-10-08. It is preserved in the archive; the latest stories are on the live feed.

Most voice agents that "forget" things or reference stale info aren't failing at the LLM layer. They're failing at retrieval. The usual pattern is: embed the query, grab top-50 chunks by cosine similarity, concatenate, ship it to the model. That works in a demo. It falls apart when you have 500K+ c…

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  1. 2026-10-08 13:32 · DEV Community — AI
    Context Arithmetic: A 5-Stage Retrieval Pipeline for Voice Agents (500K docs to 400 tokens in <200ms)

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