AI Cost Optimization | Episode_11 | Semantic Caching

Описание: 🚀 AI Cost Optimization | Episode 11 – Semantic Caching

In this episode, you'll learn how Semantic Caching reduces LLM costs by reusing answers for semantically similar questions instead of calling the model every time.

Unlike exact caching, semantic caching understands meaning, allowing applications to answer rephrased questions instantly while avoiding unnecessary API calls.

📚 What you'll learn

✅ What semantic caching is
✅ Exact Cache vs Semantic Cache
✅ Embeddings explained simply
✅ Cosine Similarity with numerical examples
✅ Similarity Threshold selection (0.70 vs 0.85 vs 0.95)
✅ Building a semantic cache using ChromaDB
✅ Using all-MiniLM-L6-v2 embeddings
✅ Cache HIT vs Cache MISS workflow
✅ ChromaDB record structure (Embedding, Document, Metadata)
✅ Cost savings calculation with real production numbers
✅ Best practices for deploying semantic caching in production

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