Architecture
Semantic Cache Architecture Guide
Semantic caching architecture — embedding-based cache lookup, TTL policies, invalidation, and cost-latency tradeoffs.
Intermediate
Semantic caching architecture — embedding-based cache lookup, TTL policies, invalidation, and cost-latency tradeoffs.
Full guide coming soon.
Learning Path
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Related Guides
- Semantic Caching
Similarity-based response cache — embed queries, return prior answers above a threshold, and manage false-positive risk.
- Caching
Caching for LLM apps — exact response cache, embedding cache, provider prompt/prefix cache, TTL, and stampede control.
- Latency Optimization
Making AI systems fast — TTFT, streaming, parallel retrieval, caching, and routing simple steps to faster model tiers.
- Cost Optimization
Reducing LLM spend — workload-based model routing, prompt compression, caching, batching, and token-aware context design.
Related Tools
| Tool | Category | Purpose | Website | Best For |
|---|---|---|---|---|
| LangChain PopularOpen SourceAPI | frameworks | Framework for building LLM-powered applications and workflows. | langchain.com | RAG systems |