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Using Jev as a RAG reranker to cut context engineering costs

A discussion of context engineering notes that more people are using Jev as a RAG reranker, inserting cheap intelligence into retrieval to improve the performance-to-cost ratio.

Viv

@Vtrivedy10Archived 2026.10.01Originally posted 2026.10.01

Using Jev as a RAG reranker to cut context engineering costs (image 1 of 3)

Using Jev as a RAG reranker to cut context engineering costs (image 2 of 3)

Using Jev as a RAG reranker to cut context engineering costs (image 3 of 3)

Viv @Vtrivedy10Originally posted 2026.10.01

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Context Engineering is still the most important job of agent & harness engineers Our goal: efficiently route the highest quality context into the LLM computational boundary (ie. the context window) a big part of this is retrieval! ppl are using Jev for RAG (as a reranker) 👀 targetedly inserting cheap intelligence into context gathering steps matters can give you great perf/cost boosts collecting some previous diagrams below on - Harnesses as context routers - Jev for RAG

This post quotes another post: x.com/erikkaum/status/2103169247102812334

x.com/vtrivedy10/status/2105366080172724337Archived 2026.10.01 10:02