Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
semantic-prompt-cachegithub.comSemantic Prompt Cache is a modular system that reduces redundant LLM calls in RAG pipelines by caching and reusing responses to semantically similar queries. It uses FAISS indexing and BGE embeddings to intercept queries, compare them by meaning, and serve cached results when a high similarity match is found.
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