LM-Kit.NET
LLM 애플리케이션을 빌드하기 위한 엔터프라이즈급 .NET SDK.
LM-Kit사에서 공개
2025년 부터 ComponentSource에서 판매중
Released: Mar 8, 2026
qwen3-coder:30b-a3b and lightonocr-2-bbox:1b.SearchHighlightEngine (LMKit.Document.Search): searches text in paginated documents (PDF or image) and produces a highlighted copy. Supports exact, regex, and fuzzy (Damerau-Levenshtein) matching. Accepts optional pre-computed PageElement instances for raster PDFs or images.SearchHighlightOptions, SearchHighlightResult, HighlightAppearance, and SearchMode enum (LMKit.Document.Search).pdf_search_highlight built-in tool: searches text in a PDF and saves a highlighted copy with matches visually marked.LM.TensorOverride (LMKit.Model): enables fine-grained control over tensor device placement via regex pattern matching, particularly useful for offloading MoE (Mixture of Experts) expert weights to CPU while keeping attention layers on GPU. Includes factory methods TensorOverride.Cpu(pattern) and TensorOverride.Gpu(pattern, gpuIndex).LM.DeviceConfiguration.TensorOverrides property to configure per-tensor device placement at model load time.MultiTurnConversation (LMKit.TextGeneration): when AgentMemory.ExtractionMode is set to LlmBased, conversations now automatically extract and store facts after each turn. Previously, automatic extraction only worked through the Agent pipeline. This enables memory extraction for RagChat, PdfChat, and direct MultiTurnConversation usage.