Releasesby Glyphspark-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.
Also shipped Jun 24, 2026John Snow Labs in June 2026 →
Computer Use
Launched public preview support for the Computer Use tool in Gemini 3.5 Flash. This release includes simplified actions with intents, built-in support for browser, mobile, and desktop environments, configurable safety policies, and advanced prompt injection detection.
Changes to model selection for Free and Student plans
Copilot Free and Student plans will now use Copilot auto model selection as the default and only model selection experience. Auto dynamically selects the best model for each task, removing the need for manual choice. Auto provides access to models across multiple model families, subject to plan restrictions.
Cloudflare One Client for macOS (version 2026.6.782.1)
A new Beta release for the macOS Cloudflare One Client is now available on the beta releases downloads page . This beta release introduces upgraded security of device registration to be hardware-backed. Registration tokens can now be generated in the Secure Enclave whenever available to provide stronger protection against device impersonation.
Single sign-on (SSO) with OIDC for DigitalOcean Kubernetes (DOKS) clusters is now in general availability
Single sign-on (SSO) with OIDC for DigitalOcean Kubernetes (DOKS) clusters is now in general availability. You can authenticate users to your Kubernetes clusters through an identity provider like Auth0, authentik, JumpCloud, Keycloak, or …
Storefront MCP cart tools are being deprecated in favour of UCP Cart MCP
What's changing The cart tools on the Storefront MCP server are being deprecated in favour of the UCP-conforming Cart MCP tools: get_cart and update_cart on https://{shop}.myshopify.com/api/mcp are deprecated.
OpenAI updates chat-latest to the latest ChatGPT Instant model
The chat-latest snapshot now points to the latest Instant model used in ChatGPT and will be updated regularly. OpenAI recommends GPT-5.5 for production API usage.
More from spark-nlpEvery spark-nlp release →
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 6.4.0
📢 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.
spark-nlp 7.0.0
📢 Spark NLP 7.0.0: Welcome, Apache Spark 4! New support for Spark 4.x alongside Spark 3.x Spark NLP is taking a major step forward with 7.0.0: support for Apache Spark 4.x and Scala 2.13, while preserving the Spark 3.x / Scala 2.12 line. This is more than a version-number update.
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 6.3.2
📢 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 6.3.1
📢 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.