AI
Integration
Integration
Build AI-powered features into your custom applications
Artificial intelligence isn't just a tool for end users — it's a capability you can build directly into your applications. From intelligent search and document processing to LLM-powered workflows, Paragon9 integrates Azure AI services into your custom .NET applications so they do more, decide smarter, and scale with your business.
Azure OpenAI Integration LLMs embedded in your applications
Connect your custom applications to GPT-4o and other large language models through Azure OpenAI Service. We design secure, scalable integration patterns that let your apps generate content, summarize documents, classify data, and respond to natural language — without exposing your data to public model training.
Retrieval-Augmented Generation AI answers grounded in your data
Give your AI responses context that matters. We build RAG pipelines using Azure AI Search and vector embeddings so your applications retrieve relevant information before generating answers — reducing hallucinations and surfacing accurate, business-specific results from your documents, databases, and knowledge bases.
Semantic Kernel & AI Pipelines Orchestrate complex AI workflows in .NET
Build multi-step AI workflows into your applications using Microsoft Semantic Kernel. From chained reasoning steps to autonomous agents that call APIs and execute actions, we design and build AI pipelines that fit inside your existing application architecture — not bolted on top of it.
Document & Content Intelligence Automate extraction from your documents
Automate the extraction and classification of information from forms, invoices, contracts, and reports using Azure AI Document Intelligence. We integrate these capabilities into your line-of-business applications so your teams stop re-keying data and start acting on it.
Ready to build AI into your applications?
Let Paragon9 design and build AI-powered features into your custom .NET applications using Azure OpenAI, Semantic Kernel, and Azure AI Search — so intelligence is part of your product, not an afterthought.
Frequently Asked Questions
What is AI integration for custom applications?
AI integration means embedding AI capabilities — like natural language processing, document extraction, intelligent search, or automated reasoning — directly into your custom business applications. Rather than using a generic AI tool, your application itself becomes intelligent. Paragon9 does this using Azure OpenAI, Semantic Kernel, and Azure AI Search built into your existing .NET codebase.
What is a RAG pipeline and why does my application need one?
RAG stands for Retrieval-Augmented Generation. It is a technique where AI responses are grounded in your specific business data — documents, databases, knowledge bases — before generating an answer. This eliminates AI hallucinations and ensures your application returns accurate, context-specific results rather than generic AI outputs. Paragon9 builds RAG pipelines using Azure AI Search and vector embeddings integrated into your .NET application.
Will AI integration expose our private business data to public AI models?
No. Paragon9 integrates AI through Azure OpenAI Service, which means your data is processed within your own Azure tenant under Microsoft's enterprise data protection agreements. Your documents and queries are not used to train public models, and all AI processing occurs within your security boundary.
What is Semantic Kernel and how does Paragon9 use it?
Semantic Kernel is Microsoft's open-source SDK for building AI-powered applications in .NET. It lets developers define AI "skills," chain reasoning steps, and build autonomous agents that can call APIs, query databases, and execute business logic. Paragon9 uses Semantic Kernel to build multi-step AI workflows that integrate natively into your application's existing architecture.
