Releasesby Glyphspark-nlp 6.4.0
📢 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.
Also shipped Apr 7, 2026John Snow Labs in April 2026 →
Cloudflare One Client for Windows (version 2026.3.851.0)
A new GA release for the Windows Cloudflare One Client is now available on the stable releases downloads page . This release contains minor fixes and improvements. The next stable release for Windows will introduce the new Cloudflare One Client UI, providing a cleaner and more intuitive design as well as easier access to common actions and information.
Cloudflare One Appliance, Cloudflare One, Cloudflare WAN - Link aggregation (LACP) support for Cloudflare One Appliance
Cloudflare One Appliance now supports Link Aggregation Control Protocol (LACP), allowing you to bundle up to six physical LAN ports into a single logical interface. Link aggregation increases available bandwidth and eliminates single points of failure on the LAN side of the appliance.
WAF Release - 2026-04-07
This week's release introduces new detections for a critical Remote Code Execution (RCE) vulnerability in MCP Server (CVE-2026-23744), alongside targeted protection for an authentication bypass vulnerability in SolarWinds products (CVE-2025-40552).
Introducing the Developer Preview Release Stage
We are excited to introduce __Developer Preview__, a new product release stage designed to get upcoming capabilities into your hands faster! Developer Preview serves as a new release phase for new Auth0 product introductions.
When you use min_ram or cpu_count resource hints for pipeline steps that don't require accelerators, Auto VM...
When you use min_ram or cpu_count resource hints for pipeline steps that don't require accelerators, Auto VM Selection (Instance Flexibility) is enabled automatically. With Auto VM Selection, workers are provisioned from a curated list of machine types that meet your RAM and CPU requirements.
Chroma 1.5.6
Version: 1.5.6 Git ref: refs/tags/1.5.6 Build Date: 2026-04-07T03:01 PIP Package: chroma-1.5.6.tar.gz Github Container Registry Image: :1.5.6 DockerHub Image: :1.5.6 [DOC] add concrete example for query/get response [DOC] Make delete clearer [DOC] Add multimodal example [ENH]: S3 client config improvements [BUG] Tests for garbage collector panic on...
More from spark-nlpEvery spark-nlp release →
spark-nlp 6.3.3
📢 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.
spark-nlp 6.4.1
📢 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.
spark-nlp 6.3.2
📢 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.
spark-nlp 6.4.2
📢 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.
spark-nlp 6.3.1
📢 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.
spark-nlp 6.2.3
📢 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.
spark-nlp 6.2.2
📢 Spark NLP 6.2.2: Bugfix Release Spark NLP 6.2.2 brings bug fixes to WordEmbeddings and NerDLApproach logging. 🐛 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.
spark-nlp 6.2.1
📢 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.