I built ragway — a Python RAG library controlled by a single YAML file
📰 Dev.to · Swapanth Vakapalli
Learn how to use Ragway, a Python RAG library controlled by a single YAML file, to simplify your RAG pipeline
Action Steps
- Install Ragway using pip by running `pip install ragway`
- Configure your RAG pipeline using a single YAML file
- Build and train your RAG model using the Ragway library
- Test and evaluate your RAG model's performance using Ragway's built-in tools
- Deploy your trained RAG model to a production environment using Ragway's deployment features
Who Needs to Know This
Data scientists and machine learning engineers can benefit from using Ragway to streamline their RAG workflows, making it easier to collaborate and manage complex pipelines
Key Insight
💡 Ragway allows you to manage your entire RAG pipeline using a single YAML file, making it easier to collaborate and manage complex workflows
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🚀 Simplify your RAG pipeline with Ragway, a Python library controlled by a single YAML file! 📄
Key Takeaways
Learn how to use Ragway, a Python RAG library controlled by a single YAML file, to simplify your RAG pipeline
Full Article
I spent the last few months building ragway, a Python RAG library where the entire pipeline is...
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