Released: Jul 22, 2026

2026.7.4 中的更新

特性

• PDF redaction (LMKit.Document.Pdf.PdfRedactor): Permanently removes content from PDFs (text glyphs, image pixels, vector graphics, annotations, Form XObject content) by search term, page area, or /Redact annotation. Removed content is unrecoverable.
• Smart redaction: Combine on-device PII detection (LMKit.TextAnalysis.PiiExtraction) with PdfRedactor to detect, review, and permanently remove sensitive data from PDFs. Added a new smart_pii_redaction sample.
• Added Windows Icon (ICO / CUR) image...

Released: Jul 17, 2026

2026.7.3 中的更新

特性

• Added support for the Microsoft Harrier OSS embedding model.
• Added model card for harrier-oss:0.6b.

修补程序

• Fixed a fatal process crash when undisposed PdfChat instances were garbage collected.

Released: Jul 9, 2026

2026.7.2 中的更新

特性

• Added support for PDF to PDF/A conversion (LMKit.Document.Pdf.PdfAConverter): converts existing PDFs to PDF/A-1b, 2b or 3b (ISO 19005).
• Semantic chunk quality gate (LMKit.Retrieval.ChunkQuality): Added new public SemanticChunkQualityGate which scores chunks before embedding generation with rejection support.

Released: Jul 1, 2026

2026.7.1 中的更新

特性

• Improved inference speed.
• Improved Document to Markdown converter accuracy and speed.
• Improved Categorization engine with EML files.

Released: Jun 22, 2026

2026.6.4 中的更新

特性

• Made context hibernation improvements.
• Improved inference speed.
• Added KV Cache quantization support. Introduced new property 'Configuration.EnableKVCacheQuantization'.

Released: Jun 15, 2026

2026.6.3 中的更新

特性

• Improved inference speed.
• Improved overall extraction accuracy.

Released: Jun 9, 2026

2026.6.2 中的更新

特性

• Improved inference speed with structured content extraction with MTP and draft models.

Released: Jun 8, 2026

2026.6.1 中的更新

特性

• Added a model card for gemma4:12b: Google Gemma 4 11.9B dense model with 256K context, hybrid sliding/global attention, vision, tool calling, math, coding, and reasoning support. gemma4:12b is now the replacement model for the deprecated gemma3:12b.
• Added draft model support. Introduced a new 'LM.DraftModel' property.
• Improved inference speed.

Released: May 31, 2026

2026.5.6 中的更新

特性

• Added model card for paddleocr-vl-1.6:0.9b: PaddleOCR-VL 1.6, an ultra-compact 0.9B vision-language model for document parsing (OCR, tables, formulas, charts, text spotting, seals, layout analysis), reaching 96.33% on OmniDocBench v1.6 (state of the art). Architecturally compatible with 1.5 for drop-in migration. The paddleocr-vl:0.9b model card is now deprecated in favor of paddleocr-vl-1.6:0.9b.
• Added PostgreSQL pgvector integration (LM-Kit.NET.Data.Connectors.PgVector): a new...

Released: May 28, 2026

2026.5.5 中的更新

特性

• Context hibernation policy (HibernationMode, IKVCache, Configuration, MultiTurnConversation, PdfChat, RagChat, AgentExecutor): new HibernationMode enum (Auto, None, Forced), per-conversation IKVCache.HibernationMode get/set property on every multi-turn conversation type, and a process-wide Configuration.DefaultContextHibernationMode that seeds the value on every new conversation. In Forced mode the runtime hibernates the KV-cache to disk in the background at the end of every turn...