Boost Your RAG Systems with Semantic Caching
2 min readMay 1, 2024
For retrieval-augmented generation (RAG) AI applications, semantic caching offers a powerful optimization to handle repetitive user queries efficiently. This technique involves storing embeddings of previously asked questions along with their answers in a high-speed cache.
How Semantic Caching Works
Instead of following the full RAG pipeline for every query, the system first checks the semantic cache. If a similar question is found based on embedding similarity, it retrieves the corresponding cached answer…