7 posts
Implement IEmbeddingGenerator locally in .NET. Plug Kjarni into Microsoft.Extensions.AI and Semantic Kernel with one NuGet package that has zero dependencies. Runs on CPU, in your process, offline.
Read moreRun Llama, Mistral, Qwen or Phi locally from C#. One NuGet package, loaded in-process and answering offline. Streaming, multi-turn conversations and sampling control in .NET.
Read moreImprove search relevance in .NET with cross-encoder reranking. Rescore your existing search results from Elasticsearch, SQL LIKE, or vector search, locally in C# and in your own process.
Read moreBuild a retrieval-augmented generation pipeline in C#: index documents, search them, rerank the hits, and answer with a local LLM. One NuGet package, start to finish, with every stage running on your own machine.
Read moreImplement IChatClient with the model inside your .NET process. No daemon, no localhost port. Streaming, multi-turn and Semantic Kernel.
Read moreIndex a directory, then search it by keyword, by meaning, or both, from Python. One pip install with no dependencies, running on your own machine, with a worked example of where hybrid search goes wrong and what fixes it.
Read moreLoad Llama, Mistral, Qwen or Phi inside a C++ program and generate text in-process. One header and one shared library, blocking replies and token streaming, with the model running on your own machine.
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