Using Redis and sentence embeddings to catch similar LLM prompt queries before hitting the OpenAI API, drastically improving response times from 1200ms down to 180ms.
Cost EngineeringRedisOpenAI
Real build logs, performance tuning, and technical observations
Using Redis and sentence embeddings to catch similar LLM prompt queries before hitting the OpenAI API, drastically improving response times from 1200ms down to 180ms.
Why I chose to run Postgres, Redis, and Prometheus locally via Compose before spinning up full cloud resources to save costs and simulate production.