RAG-as-a-Service for Seamless AI Integration 

At GPTYSOFT, we make AI integration simple.

Our flagship product RAG-as-a-Service helps businesses supercharge their Large Language Model (LLM) applications with real-time, context-aware retrieval, without the hassle of setting up complex infrastructure.

What We Do

• Plug & Play RAG Engine → Easily connect your data with ChatGPT, Gemini, or any LLM.

• Customer-Owned Data & Compliance → We don’t store your data. You keep full control, ensuring security and compliance.

• Optimized Orchestration → Our engine manages query rewriting, context compression, and retrieval optimization to save on token costs and boost accuracy.

• LLM-Agnostic → Works seamlessly with OpenAI, Google Vertex AI, Anthropic, and more.

Why GPTYSOFT RAG-as-a-Service?

Frictionless integration — get retrieval-augmented generation up and running in hours, not weeks.
Cost-efficient — optimized prompts and context handling mean lower LLM bills.
Scalable — serverless architecture scales with your business.
Future-ready — built to support text, image, and multimodal retrieval.

Who We Serve

• Enterprises building AI-powered search, chatbots, and copilots

• SaaS companies integrating RAG into their products

• Startups that want enterprise-grade AI features without heavy infra setup

Our Vision

To become the go-to RAG infrastructure provider, enabling every business to build smarter AI solutions faster, safer, and cheaper.