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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Kyle Wild

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Preprint Aug 2026

RAG Deserves an Index: Why Ingest-Time Compilation Beats Query-Time Interpretation

The paradigm ingest-time semantic compilation (ISC) is called: compile a corpus's meaning into a queryable substrate with two coupled layers - incrementally maintained embeddings, and atomic claims whose provenance is validated at compile time - and treat that substrate as a first-class database object with its own DDL...

Kyle Wild, Yusuke Takahashi, Asako Uraki · 0 citations
#artificial intelligence Preprint Aug 2026

Ingest-Time Fact Compilation for Cost-Efficient and Reliable Question Answering over Revised Corpora

This work presents ingest-time fact compilation, an architecture that performs this work when corpus data is ingested or changed and supports a narrow but practical claim: resolving a corpus state once can make subsequent QA cheaper and more reliable for inexpensive models.

Kyle Wild, Yusuke Takahashi, Asako Uraki · 0 citations

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