ReskCaching

ReskCaching

Resk-caching is library for secure caching, LLM's response.

19 followers

Visit website
Resk-Caching is a Bun-based backend library and server designed for secure caching, embeddings orchestration, and vector database access. It prioritizes security, high performance, and deep observability. - Resk-Security/resk-caching
ReskCaching gallery image
Free
Launch tags:Open Source•Artificial Intelligence•GitHub
Launch Team
AssemblyAI
AssemblyAI
Build voice AI apps with a single API
Promoted

What do you think? …

resk
Maker
📌
Resk-Caching is a Bun-based backend library/server designed to cache Large Language Model (LLM) responses using vector databases, significantly reducing API costs while maintaining response quality and relevance. 🎯 Primary Purpose: Cost Optimization for LLM APIs This library addresses the high costs associated with LLM API calls by implementing intelligent caching strategies. Instead of making expensive API calls to services like OpenAI, Claude, or other LLMs, Resk-Caching stores pre-computed responses in a vector database and retrieves them based on semantic similarity to incoming queries.
Azra Malek

I’m just getting started with LLMs, and honestly, the costs are a bit intimidating—this feels like a real game changer. Thanks for creating something so practical! 🙌

resk
Maker

@azra_malek Hey! Thanks a lot. I try to create useful tools for the community. Your feedback is very valuable.

Rabin Quest

I’m still wrapping my head around embeddings orchestration, but if it means cheaper AI experiments… I’m all in!

Linda Wick

this is exactly what makes AI accessible for smaller developers like me. Huge congrats on the launch! 🚀

Ashley Wood

Bun plus vector caching is such an intriguing combo. I’m curious about how you’re managing cache invalidation as LLMs evolve?

Vaneza Zan

I really appreciate that you’ve put security and observability at the forefront—most caching tools in the AI space overlook this.

James Lee

This library seems straightforward at first glance, but it tackles a significant cost/performance challenge. Much respect!

123
Next
Last