Stop Caching the Whole LLM Response. Cache the Embedding.
📰 Dev.to · Gabriel Anhaia
Improve cache efficiency by caching LLM embeddings instead of full responses, increasing cache hits from 4% to 60%
Action Steps
- Implement embedding-keyed caching using a 70-line code implementation
- Configure cache to store LLM embeddings instead of full responses
- Test cache performance to measure hit rate improvement
- Compare cost-shape of embedding-keyed caching to traditional caching methods
- Apply embedding-keyed caching to production environment to reduce costs
Who Needs to Know This
Developers and engineers working with large language models can benefit from this approach to optimize cache performance and reduce costs
Key Insight
💡 Caching LLM embeddings can significantly improve cache efficiency and reduce costs
Share This
💡 Cache LLM embeddings, not full responses! Boost cache hits from 4% to 60%
Key Takeaways
Improve cache efficiency by caching LLM embeddings instead of full responses, increasing cache hits from 4% to 60%
Full Article
Exact-match response caches hit 4% of the time. Embedding-keyed caches hit 60%. Here is the 70-line implementation and the cost-shape that justifies it.
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