Semantic Kernel

Semantic Kernel Plugins, Planners & RAG Pipelines

GenifySoft guide to Semantic Kernel plugins, planners, and retrieval-augmented generation for document intelligence and support automation.

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Plugins that connect AI to real data

Semantic Kernel plugins turn LLM responses into actionable business outcomes. GenifySoft designs native and OpenAPI plugins so AI agents can query databases, trigger workflows, and retrieve company knowledge safely.

Planners and RAG together

Combining planners with RAG (retrieval-augmented generation) lets agents break complex requests into steps while grounding answers in your documents. This is how we build support bots, internal copilots, and sales assistants for clients.

  1. Chunking and embedding strategy for your content
  2. Semantic Kernel memory and vector connectors
  3. Evaluation and guardrails before go-live

Contact GenifySoft for Semantic Kernel consulting, .NET AI development, and Azure OpenAI integration.

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Engineering notes on software development, AI, cloud, mobile, and modern product delivery from our Stockholm team.

GenifySoft is a complete digital solutions company based in Stockholm, Sweden. We design and build custom software, web and mobile products, AI-powered systems, and growth marketing for ambitious businesses.

Yes. While our headquarters is in Stockholm, we deliver projects for clients across Europe and globally using agile remote collaboration, clear documentation, and regular demos.

GenifySoft’s primary enterprise strength is .NET (C#, ASP.NET Core). We also build with Go, Laravel, Python, Node.js, React, Next.js, Angular, Vue.js, JavaScript, TypeScript, Kotlin, Flutter, Azure, AWS, Docker, Kubernetes, SQL/PostgreSQL, and AI platforms such as OpenAI and Semantic Kernel - chosen to fit your product and team.

MVPs often land in 8–16 weeks depending on complexity. Larger platforms may run in phases. We define milestones upfront so you see working software early and can adjust scope with confidence.

Yes. We offer post-launch support, monitoring, feature iterations, performance improvements, and SLA-based care so your product stays secure and reliable as usage grows.

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