2026-10-11 17:09 UTC

semantic-caching

band: coolmomentum: stable score: 0.113
temperature history

Episodes (2)

Reddit builder Mahmoud (ghraibeh on GitHub) claims his released MIT kNN cache — local bge-small embeddings answering when the nearest stored input is ≥0.90 similar and 5 neighbours agree, CPU-only — delivers author-measured 87% warm-call savings at 97.6% local-answer accuracy in front of Jev-class judgments, and independent adoption or replication of those numbers makes local semantic caching a standard cost-reduction layer for agent decision calls, while a hobby-demo fade closes it.
seedcontradictsscott: high
Redis presents LangCache as reducing repeated LLM inference, citing Mangoes.ai's reported 70% cache hit rate, 70% LLM-spend savings, and fourfold speedup, potentially making caching a material serving-cost control for repetitive application workloads.
seedconvergesscott: medium