Most RAG systems are optimized for answer quality, not cost—and that blind spot gets expensive fast. In this article, I break down a production-ready cost control layer combining semantic caching, query routing, token budgeting, and circuit breaking, achieving an 85%…
A book about how AI shapes perceptions of reality came under fire for using AI-generated quotes. Its problems go beyond that.
Most RAG systems are optimized for answer quality, not cost—and that blind spot gets expensive fast. In this article, I break down a production-ready cost control layer combining semantic caching, query routing, token budgeting, and circuit breaking, achieving an 85%…
A book about how AI shapes perceptions of reality came under fire for using AI-generated quotes. Its problems go beyond that.
Most RAG systems are optimized for answer quality, not cost—and that blind spot gets expensive fast. In this article, I break down a production-ready cost control layer combining semantic caching, query routing, token budgeting, and circuit breaking, achieving an 85%…
A book about how AI shapes perceptions of reality came under fire for using AI-generated quotes. Its problems go beyond that.
Most RAG systems are optimized for answer quality, not cost—and that blind spot gets expensive fast. In this article, I break down a production-ready cost control layer combining semantic caching, query routing, token budgeting, and circuit breaking, achieving an 85%…
A book about how AI shapes perceptions of reality came under fire for using AI-generated quotes. Its problems go beyond that.
Most RAG systems are optimized for answer quality, not cost—and that blind spot gets expensive fast. In this article, I break down a production-ready cost control layer combining semantic caching, query routing, token budgeting, and circuit breaking, achieving an 85%…
A book about how AI shapes perceptions of reality came under fire for using AI-generated quotes. Its problems go beyond that.
