OpenAI Responses API Tutorial : Easily Enhance Workflow Automation and Data Access
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OpenAI Responses API : The Easiest Way to Build a RAG System
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You might think “caching” = Redis. But in real system design… Caching is a stack, not a single layer. Different caches live in different places, solve different problems, and break in different ways. Here are 8 types of caching you’ll actually use in system design 👇 1) Browser Cache The first cache layer - stores static frontend files in the user’s browser so repeat visits feel instant. 2) CDN Cache Caches images/videos/JS/CSS at edge locations worldwide, reducing latency and protecting the ori
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🚀 New Course: Semantic Caching for AI Agents Taught by Tyler Hutcherson and Iliya Zhechev from Redis. AI agents often make redundant API calls for questions that mean the same thing. Semantic caching helps your agents recognize when different queries share the same meaning, reducing costs and speeding up responses. In this course, you'll: - Build a semantic cache that reuses responses based on meaning, not exact text matches - Measure cache performance using hit rate, precision, and latency met
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Your microservice is slow because of external API calls. How do you fix it? ⸻ 1️⃣ Caching 👉 Store common responses in Redis / Memcached so you don’t hit the external API every time. Example: Configs, metadata, country lists served from cache. ⸻ 2️⃣ Timeouts & Smart Retries 👉 Set a max wait time and retry only a few times with backoff. Example: If API doesn’t respond in 300ms, fail fast instead of hanging. ⸻ 3️⃣ Circuit Breaker Pattern 👉 If an API keeps failing, stop calling it temporarily and
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