LM-Kit.NET

用于构建 LLM 应用程序的企业级 .NET SDK。

由以下开发商制作:LM-Kit
ComponentSource开始代理销售的日期:2025年

价格从： $ 980.00 版本:2026.x 新增功能 更新: Apr 10, 2026

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LM-Kit.NET 新版本发表

Released: Apr 10, 2026

2026.4.2 中的更新

特性

  • Added thinking mode support for Gemma 4 models (E2B, E4B, 26B).
  • Added per-request language and orientation detection to PDF OCR: OcrParameters, PdfSearchableMakerOptions, and PdfGenerationOptions now accept optional Languages and EnableOrientationDetection overrides. The PDF OCR server endpoint exposes languages and detect_orientation fields.
  • Orchestration streaming now emits Thinking tokens for internal reasoning segments.

Released: Apr 4, 2026

2026.4.1 中的更新

特性

  • Added model cards for gemma4:e2b, gemma4:e4b, and gemma4:26b-a4b: Google Gemma 4 multimodal Mixture-of-Experts models with vision and tool calling support.
  • Inference speed improvements.
  • Improved overall extraction accuracy.

Released: Mar 28, 2026

2026.3.5 中的更新

特性

  • Added model cards for 'translategemma3:4b' and 'translategemma3:12b'. Google TranslateGemma 3 open translation models built on Gemma 3, supporting 55 languages with text and image inputs.
  • Added Translation model capability (ModelCapabilities.Translation): New flag identifying models specifically trained for multilingual translation.
  • Added model card for 'nemotron3-nano:4b'. NVIDIA Nemotron 3 Nano 4B, an edge-ready hybrid Mamba-2/Transformer model (3.97B parameters) with 262K context...
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Released: Mar 24, 2026

2026.3.4 中的更新

特性

  • Inference speed improvements.
  • Improved overall extraction accuracy.

Released: Mar 9, 2026

2026.3.3 中的更新

特性

  • Added Embedder.GetQueryEmbeddings and Embedder.GetQueryEmbeddingsAsync (LMKit.Embeddings): compute embeddings with model-specific query instruction prefixes applied. Modern embedding models (Qwen3 Embedding, Nomic Embed, BGE v1.5) are trained with asymmetric prefixes for queries versus passages; these methods apply the correct prefix automatically based on the loaded model's architecture.
  • Automatic Query Instruction Prefix in RAG Retrieval: RagEngine.FindMatchingPartitions and...
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Released: Mar 8, 2026

2026.3.2 中的更新

特性

  • Added model cards for qwen3-coder:30b-a3b and lightonocr-2-bbox:1b.
  • Added 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.
  • Added SearchHighlightOptions, SearchHighlightResult, HighlightAppearance, and SearchMode enum (LMKit.Document.Search).
  • Added pdf_search...
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Released: Mar 3, 2026

2026.3.1 中的更新

特性

  • Added model cards for qwen3.5:0.8b, qwen3.5:2b, qwen3.5:4b and qwen3.5:9b.

Released: Feb 28, 2026

2026.2.11 中的更新

特性

  • Added model card for glm-4.6v-flash.
  • Added model card for glm-ocr: Z.ai GLM-OCR 0.9B vision-language model specialized in document parsing, OCR, and structured information extraction.
  • Improved GLM model support: Added ChatGLM3 and ChatGLM4 template formats with proper token handling and tool calling support.

Released: Feb 25, 2026

2026.2.10 中的更新

特性

  • Added model cards for Qwen 3.5 family: qwen3.5:27b (27B dense hybrid GDN model) and qwen3.5:35b-a3b (35B MoE, 3B active). Both support chat, vision, tool calling, code completion, math, and OCR with a native 262K context window. The qwen3-vl:30b model card is now deprecated in favor of qwen3.5:35b-a3b.
  • Introduced RagChat (LMKit.Retrieval): A turnkey multi-turn conversational RAG class that wraps a user-managed RagEngine with an internal MultiTurnConversation. Implements...
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Released: Feb 22, 2026

2026.2.9 中的更新

特性

  • Added MarkdownToPdf converter (LMKit.Document.Conversion) with full formatting support (headings, bold/italic, code blocks, lists, blockquotes, tables, links, horizontal rules).
  • Added EmlToPdf converter (LMKit.Document.Conversion) with embedded attachment support.
  • Added markdown_to_pdf and eml_to_pdf built-in document tools.
  • Added support for PaddleOCR VL models.
  • Added model card for paddleocr-vl:0.9b.
  • Added VlmOcrIntent enum and VlmOcr(LM, VlmOcrIntent) constructor for explicit OCR...
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