CAMI: Cost-Aware Agent-Guided Multi-Indexing for Semantic Retrieval
RAG ingestion pipelines frequently augment search corpus index with semantic enrichment indices (e.g., synthetic queries or summaries generated from corpus chunks) that are subsequently queried alongside the base index to improve retrieval via better alignment between document representations and user intent. While these supplementary representations substantially improve retrieval quality, they introduce a computational bottleneck: the configuration space of enrichment types and generator model
Record details
Published: 14 June 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (14 June 2026), “CAMI: Cost-Aware Agent-Guided Multi-Indexing for Semantic Retrieval,” evidence record 992, https://ethics.ai/record/992 (originally published by arXiv).
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