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spark-nlp 6.3.3

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๐Ÿ“ข Spark NLP 6.3.3: ModernBERT Embeddings, Vector DB Integration, and Layout-Aware Document Processing Spark NLP 6.3.3 is a feature-packed release aimed at practitioners building modern NLP and multimodal document pipelines.

Vector searchData integrationObservabilityPerformance

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Also shipped Mar 10, 2026John Snow Labs in March 2026 โ†’

Nova-3 Model Update

๐ŸŽฏ Nova-3 Swedish and Dutch Model Enhancements Weโ€™ve released updated Nova-3 Swedish and Nova-3 Dutch models, offering improved accuracy for both streaming and batch transcription.

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LlamaIndex 0.14.16

Release Notes [2026-03-10] llama-index-core [0.14.16] Add token-bucket rate limiter for LLM and embedding API calls ( #20712 ) Fix/20706 chonkie init doc ( #20713 ) fix: pass tool_choice through FunctionCallingProgram ( #20740 ) feat: Multimodal LLMReranker ( #20743 ) feat: add optional embed_model to SemanticDoubleMergingSplitterNodeParser ( #20748 )...

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spark-nlp 6.4.0

๐Ÿ“ข Spark NLP 6.4.0: LLM-Powered Entity Extraction, Expanded Document Readers, and Pipeline Robustness Spark NLP 6.4.0 is a feature-rich release focused on bringing LLM-powered extraction into standard NLP pipelines, dramatically expanding the document reader ecosystem, and hardening production ingestion workflows.

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spark-nlp 6.3.2

๐Ÿ“ข Spark NLP 6.3.2: Scala 2.13 Support, Layout-Aware Images, and Enhanced LightPipeline Tracking Spark NLP 6.3.2 is a foundational release that introduces official support for Scala 2.13, alongside important improvements in document layout understanding and lightweight inference workflows.

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spark-nlp 6.3.1

๐Ÿ“ข Spark NLP 6.3.1: LLM Backend Upgrade and Document Processing Improvements Spark NLP 6.3.1 focuses on strengthening distributed local LLM inference by upgrading the jsl-llamacpp backend to a newer llama.cpp release, while also delivering important improvements in document structure handling and metadata consistency.

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spark-nlp 6.4.1

๐Ÿ“ข Spark NLP 6.4.1: Late Chunking, Multimodal Embeddings, and Smarter Pretrained Workflows Spark NLP 6.4.1 is a feature-rich follow-up release that expands retrieval and multimodal capabilities while improving pretrained model loading and production robustness.

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spark-nlp 6.2.3

๐Ÿ“ข Spark NLP 6.2.3: Further Improvements for NerDL Spark NLP 6.2.3 introduces targeted improvements to training performance and stability of NerDLApproach and bug fixes for CamemBertForTokenClassification. NerDLApproach now uses new internal data-loading behavior, and improving training speed and preventing out-of-memory errors.

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spark-nlp 6.4.2

๐Ÿ“ข Spark NLP 6.4.2: BM25 Retrieval, SaT Sentence Detection, and Model Conversion Workflows Spark NLP 6.4.2 is a feature and reliability release focused on strengthening retrieval, sentence segmentation, model conversion, and release infrastructure.

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spark-nlp 6.2.2

๐Ÿ“ข Spark NLP 6.2.2: Bugfix Release Spark NLP 6.2.2 brings bug fixes to WordEmbeddings and NerDLApproach logging. ๐Ÿ› Bug Fixes - WordEmbeddings: Fixed a bug where WordEmbeddings would duplicate input tokens in the output - NerDLApproach: Fixed a bug during logging, that would show inaccurate training/validation counts.

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spark-nlp 6.2.1

๐Ÿ“ข Spark NLP 6.2.1: Enhanced hierarchical document processing and training optimizations Spark NLP 6.2.1 brings significant improvements to document ingestion with expanded hierarchical support, XML processing enhancements, and optimizations for NerDL training.

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