Data and AI releases

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spark-nlp 6.2.2

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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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Also shipped Nov 13, 2025John Snow Labs in November 2025 โ†’

AI Log Alert Summarization (Preview)

When a log-based alert fires, the race to find the root cause begins. Sifting through thousands of log lines to find the "why" is time-consuming and stressful. We're excited to introduce AI Log Alert Summarization (Preview) , a new feature in our Logs Intelligence suite.

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New top-level domains available

Now you can purchase domains with the following top-level domains (TLDs) for even more flexibility when buying and registering a domain through Netlify: .place .be .pl .dk .co.uk For help buying a new domain, check out our docs on registering and buying a domain. For even more help setting up a domain, check out our domains setup wizard.

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GPT-5.1 model now available in AI Gateway

OpenAI's latest GPT-5.1 model (gpt-5.1) is now available through Netlify's AI Gateway. This model brings enhanced performance and efficiency with no additional setup required. Use the OpenAI SDK directly in your Netlify Functions without managing API keys. The AI Gateway handles authentication, rate limiting, and caching automatically.

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More from spark-nlpEvery spark-nlp release โ†’

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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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 6.2.0

๐Ÿ“ข Spark NLP 6.2.0: A new stage for unstructured document ingestion and processing at scale Spark NLP 6.2.0 introduces key upgrades across entity extraction, document normalization, HTML reading, and GGUF-based models.

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spark-nlp 6.1.5

๐Ÿ“ข Spark NLP 6.1.5: Smarter Readers and More Resilient Pipelines Spark NLP 6.1.5 focuses on improving data ingestion reliability and pipeline flexibility. This release enhances reader components with better fault tolerance, broader input support, and introduces a new ReaderAssembler annotator for streamlined integration.

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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 6.3.2

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 6.3.3

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.

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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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