Releases: awslabs/project-lakechain
Releases · awslabs/project-lakechain
0.5.0
🚀 Highlights
- Structural changes addition in the flow control middlewares available in Project Lakechain. This involves the addition of the
Reducer
andTransform
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
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 🎉
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.