I will reduce your openai costs by up to 80 using semantic caching

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Forel

About this gig

Stop Burning Money on Redundant AI Calls!


Most AI apps waste 40% to 80% of their budget on redundant LLM calls. Im here to help you stop the bleed.

I will build a Production-Ready Semantic Cache that "remembers" past queries and serves answers instantlyslashing your costs and making your app feel lightning-fast.


What is Semantic Caching?

Standard caching is "dumb"it needs a 100% word-for-word match. Semantic Caching is smart. Using Vector Embeddings, your system will understand intent. If User A asks "How's the weather?" and User B asks "What's the forecast?", the system knows theyre the same. It serves the stored answer instantly without hitting your API.


️ Whats included in this Gig?

  • Custom Vector Setup: Expert integration with Redis, Pinecone, or ChromaDB.
  • Smart Similarity Logic: I fine-tune the "closeness" (Cosine Similarity) so your AI stays accurate, not just fast.
  • Hybrid Storage: Optimized prompt-response pairs for near-zero latency.
  • Seamless Integration: Works perfectly with LangChain, LlamaIndex,

Get to know Forel

Forel

Code, Scrape, Automate, FullStack Developer for Data and AI

  • FromArgentina
  • Member sinceJul 2025
  • Avg. response time3 days
  • Languages

    English, Spanish, Japanese
I am a highly adaptable Software Engineer with over 2 years of experience developing and deploying robust, scalable solutions across modern backend stacks and emerging technologies. My expertise is centered on three key areas: -Backend Engineering (TypeScript/Node.js): Building high-performance, maintainable APIs and web services. -Data Automation (Python): Implementing efficient web scraping and data extraction pipelines. -Intelligent Systems (AI Agents): Developing smart, automated solutions to streamline complex business logic.