Everything LM-Kit ships, in one place.
LM-Kit is a single NuGet package that covers a broad surface of generative-AI capabilities, every category below is a feature already available in the SDK. Pick the area you need, the rest stays out of your way.
01 · Agents
AI agents on local models
Planners, supervisors, parallel and pipeline orchestrators, persistent memory, MCP clients, custom tool calling, agent skills.
AI Agents02 · Documents
Document intelligence
PDF parsing, OCR, structured field extraction, chat-with-PDF, document RAG, splitting.
Document Intelligence03 · RAG
Retrieval & knowledge
Built-in vector store, Qdrant and pgvector connectors, hybrid retrieval, RAG chat, data extraction.
RAG & Knowledge04 · Embeddings
Dense & sparse vectors
Qwen3-embedding, EmbeddingGemma, Harrier OSS, dense and sparse retrieval, on-device.
Embeddings05 · NLP
Text analysis & classification
Classification, NER, PII extraction, sentiment, keyword extraction, language ID.
Content analysis06 · Generation
Translation, rewriting & more
Translation, summarisation, correction, rewriting, schema-constrained generation.
Text generation07 · Speech
Audio transcription, STT
A growing local speech-to-text stack: on-device, multilingual, streaming output, real-time translation, 100+ languages.
Speech to text08 · Optimization
Quantization & fine-tuning
Quantize open-weight models, hot-swap LoRA adapters, deterministic and grammar-constrained sampling. Make your model fit your hardware.
Model optimizationFrequently asked questions.
What can LM-Kit.NET do?
LM-Kit covers a broad surface of generative-AI capabilities, including AI agents, document intelligence, RAG and knowledge retrieval, embeddings, text analysis and classification, text generation, speech-to-text, and model optimization. Every category is a feature already available in the SDK.
Is LM-Kit.NET one package or many?
LM-Kit is a single NuGet package that covers all of these capabilities. You pick the area you need and the rest stays out of your way.
Does LM-Kit.NET run locally on-device?
Yes. LM-Kit runs locally inside your .NET application, with capabilities such as embeddings and speech-to-text operating on-device.
What AI agent capabilities does LM-Kit.NET provide for .NET?
LM-Kit runs AI agents on local models, including planners, supervisors, parallel and pipeline orchestrators, persistent memory, MCP clients, custom tool calling, and agent skills.
What speech and text-analysis features does LM-Kit.NET offer?
For speech it provides a local, multilingual speech-to-text stack with streaming output, real-time translation, and 100+ languages. For text analysis it offers classification, NER, PII extraction, sentiment, keyword extraction, and language ID.
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