Developers build local LLM Wiki in C# with Ollama, Kimi as RAG alternative

This tutorial guides developers in building a local LLM Wiki using C#, Ollama, and the Kimi model. It contrasts this approach with Retrieval-Augmented Generation (RAG), suggesting the wiki method is simpler for small, stable knowledge bases. The process involves preparing documents, sending them to the LLM via Ollama for structured content generation, saving this as markdown, and then querying the wiki content. AI

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IMPACT Offers a simpler alternative to RAG for managing small, stable knowledge bases, potentially accelerating development for focused AI applications.

RANK_REASON This is a step-by-step tutorial for building a specific application using existing AI tools, rather than a release of new AI technology.

Read on dev.to — LLM tag →

• C#
• Ollama
• Kimi
• RAG
• LLM Wiki
• .NET 8
• OllamaSharp
• LocalWiki

• product
• other