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Releases: awslabs/project-lakechain

0.5.0

04 Apr 12:36
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🚀 Highlights

  • Structural changes addition in the flow control middlewares available in Project Lakechain. This involves the addition of the Reducer and Transform middlewares using a new concept called funclets. This allows pipeline developers to create much more versatile pipelines.
  • The new Rembg middleware allows to remove background from images using multiple machine-learning models for segmentation and matting purposes.
  • The new Subtitle parser middleware allows to parse WebVTT and SubRip subtitle documents.
  • The new FFMPEG middleware allows to process audio and video documents within pipelines.
  • The new RegexpTextSplitter allows to split documents at scale based on a string or regexp.
  • Added a new example for creating a Generative Podcast using machine learning.
  • Added a new example for creating an automatic video chaptering service.
  • Added a new example to generate and embed multi-lingual subtitles in videos.
  • Several parts of the documentation have been improved for a better clarity.

0.4.0

27 Feb 21:23
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0.4.0

🎉 Highlights

  • Added the Condition middleware for describing complex conditionals.
  • Added the OllamaProcessor middleware for running Ollama models on AWS.
  • Updates the core framework with improvements.
  • Bumped the packages dependencies.
  • Fix documentation FAQ and improvement middleware documentation layout.
  • Removed S3 stream copier in TypeScript SDK.

v0.3.4 - Initial Alpha Release 🎉

08 Feb 11:57
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This is the initial release of Project Lakechain, a cloud-native, AI-powered, document processing framework built on top of the AWS CDK. This is release is in Alpha version and all work will continue in public.

🎉 Highlights

  • Initial release for Project Lakechain.
  • 40+ middlewares published.
  • 40+ examples.
  • Web Documentation.
  • TypeScript SDK.