Integrate cutting-edge LLM technology quickly and easily into your apps
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Updated
Aug 7, 2024 - C#
Integrate cutting-edge LLM technology quickly and easily into your apps
The AI Agent Framework in .NET
RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.
Open deep learning compiler stack for Kendryte AI accelerators ✨
C# implementation of LangChain. We try to be as close to the original as possible in terms of abstractions, but are open to new entities.
A versatile multi-modal chat application that enables users to develop custom agents, create images, leverage visual recognition, and engage in voice interactions. It integrates seamlessly with local LLMs and commercial models like OpenAI, Gemini, Perplexity, and Claude, and allows to converse with uploaded documents and websites.
Bindings of gpt4all language models for Unity3d running on your local machine
Microsoft Semantic Kernel Assistants This enables the usage of assistants for the Semantic Kernel. It provides different scenarios for the usage of assistants such as: Assistant with Semantic Kernel plugins Multi-Assistant conversation
openai chatgpt or local llm(llama.cpp gguf format)+TTS+STT+Word+Excel
AI powered dialogue visual designer for Unity
Automatic programming by creating Pull Requests from Issues using LLMs
ASP.NET Core Web, WebApi & WPF implementations for LLama.cpp & LLamaSharp
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