Technical Insights & Architecture Papers

Semantic Caching for LLMs with Redis & `pgvector`: Slashing API Costs & Sub-20ms Latency

Identical and semantically equivalent LLM queries waste massive API budgets and introduce 1.5s+ latency. Build a high-throughput semantic caching layer using embeddings, cosine distance thresholds, and Redis vector indexing for sub-20ms instant responses.