Releasesby Glyphspark-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.
Also shipped May 25, 2026John Snow Labs in May 2026 →
Temporary token-based database access in Feature Preview
Supabase project owners and admins can now grant temporary database access via Personal Access Tokens. Access is scoped by role with an expiry of up to 90 days, eliminating the need to disclose passwords.
cline 3.85.0
Added Add GPT-5.5 support to SAP AI Core. Add DeepSeek V4 Flash and Pro models. Add Gemini 3.5 Flash to Gemini and Vertex providers. Add /lg-task URI webhook integration for LG dashboard flows. Fixed Fix Vertex AI global endpoint handling for Claude models. Route Poolside Laguna models through next-gen prompts and native tool calling.
Zed 1.3.7
- Fixed a bug on macOS where Git operations could be blocked depending on the timing of spawning child processes. ( #57662 )
GraphQL introspection disabled by default in pg_graphql 1.6.0
pg_graphql 1.6.0 disables GraphQL introspection by default for new projects created on or after June 29, 2026. Introspection can be re-enabled by adding a comment on the schema.
More from spark-nlpEvery spark-nlp release →
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 6.4.0
📢 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 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 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 6.3.1
📢 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.