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awslabs / project-lakechain

:zap: Cloud-native, AI-powered, document processing pipelines on AWS.

Why this job: matched by what the repo talks about: document, power, pipeline, project

Picture from the awslabs/project-lakechain README

What it does

  • Composable. Composable API to express document processing pipelines using middlewares.
  • Scalable. Scales out-of-the box. Process millions of documents, scale to zero automatically when done.
  • Cost Efficient. Uses cost-optimized architectures to reduce costs and drive a pay-as-you-go model.
  • Ready to use. 60+ built-in middlewares for common document processing tasks, ready to be deployed.
  • GPU and CPU Support. Use the right compute type to balance between performance and cost.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 59 days ago
Stars
190
On GitHub
Licence
Apache-2.0
Allows business use
Downloads for
None listed
No release files
Latest version
v0.5.0
Released 2 years ago
Built with
TypeScript
87% of the code

Is it looked after?

Contributors
0
Last 90 days
Issues
54% closed
16 still open
Pull requests
4 merged
0 waiting
Releases
3
0 in the last year

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More: languages, topics and project record

Languages

  • TypeScript 87%
  • Python 11%
  • JavaScript 2%
  • Dockerfile 1%

Topics

  • aws
  • aws-cdk
  • computer-vision
  • document-processing
  • generative-ai
  • hacktoberfest
  • machine-learning
  • natural-language-processing
  • retrieval-augmented-generation
  • serverless

Project record

  • JobRAG and search
  • StatusListed
  • Commits391
  • Forks27
  • Watching10
  • Stars in 28 days0
  • CreatedNov 23, 2023
  • First seen by usNov 7, 2026
  • CheckedNov 7, 2026

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