Vector Cache
A Python Library for Efficient LLM Query Caching
Vector Cache launched on August 14, 2024 with 9 votes, #1,654 of 5,471 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 2 years on.
What it does
As AI applications gain traction, the costs and latency of using large language models (LLMs) can escalate. VectorCache addresses these issues by caching LLM responses based on semantic similarity, thereby reducing both costs and response times.
A simple semantic cache implementaion. It caches responses from an LLM based on semantic similarity. - shivendrasoni/vector-cache
Does a similar job
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