RAG Cost Optimization: Minimizing the Cost of Every Query
RAG system costs come from LLM tokens, Embedding APIs, and vector search. Every stage has room for cost reduction, but you need to verify that optimizations don't sacrifice too much quality.
#performance
2 postsSemantic Caching: Run the RAG Pipeline Only Once for Semantically Similar Queries
Caching doesn't have to match exact query strings -- semantically similar questions can hit the cache too, skipping the entire RAG pipeline execution.