Releasesby Glyphspark-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.
Also shipped Jan 29, 2026John Snow Labs in January 2026 →
Your logs' final destination is in GA. You always end up here anyway
PostHog Logs is now generally available, providing a centralized destination for logs alongside errors, session replays, and product data.
- DuckDB 1.4.4: MotherDuck supports DuckDB 1.4.4, a bugfix release
- DuckDB 1.4.4: MotherDuck supports DuckDB 1.4.4, a bugfix release. Learn more in the official DuckDB Labs 1.4.4 announcement and changelog .
Container Images (release 260129)
- quay.io/deepgram/self-hosted-api:release-260129 Equivalent image to: quay.io/deepgram/self-hosted-api:1.177.3 quay.io/deepgram/self-hosted-engine:release-260129 Equivalent image to: quay.io/deepgram/self-hosted-engine:3.107.0-1 Minimum required NVIDIA driver version: >=570.172.08 quay.io/deepgram/self-hosted-license-proxy:release-260129 Equivalent image...
This Release Contains The Following Changes
- Nova-3 Supports 12 New Languages , Belarusian (be), Bengali (bn), Bosnian (bs), Croatian (hr), Kannada (kn), Macedonian (mk), Marathi (mr), Serbian (sr), Slovenian (sl), Tamil (ta), Tagalog (tl), and Telugu (te). Note that Arabic support is not included in this release. See the full announcement for details.
Agent Runners improvements
Here are some Agent Runners improvements that all people with Credit-based pricing plans can enjoy: Shareable agent run links You can now link directly to an agent run to share it with your team or bookmark for later review.
Time in status
Time spent in individual statuses is now tracked and available throughout Linear. Hover over any issue's status indicator to see the cumulative time it's spent in each status. You can use this to spot where things are getting stuck, identify bottlenecks, and optimize your development process.
More from spark-nlpEvery spark-nlp release →
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 6.3.3
📢 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 6.2.3
📢 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 6.4.0
📢 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 6.2.2
📢 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.
spark-nlp 6.2.0
📢 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.
spark-nlp 6.1.5
📢 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.