What's Changed

• Refactoring to v3.0 for efficient deployment by @vkehfdl1 in https://github.com/Marker-Inc-Korea/AutoRAG/pull/727
• resolve vllm error by @vkehfdl1 in https://github.com/Marker-Inc-Korea/AutoRAG/pull/735
• Change data creation package names to v0.3 by @vkehfdl1 in https://github.com/Marker-Inc-Korea/AutoRAG/pull/740
• Add more yaml file by @bwook00 in https://github.com/Marker-Inc-Korea/AutoRAG/pull/743
• Update README for v 0.3.0 by @bwook00 in https://github.com/Marker-Inc-Korea/AutoRAG/pull/739
• dump version 0.3.0 by @vkehfdl1 in https://github.com/Marker-Inc-Korea/AutoRAG/pull/741

Full Changelog: https://github.com/Marker-Inc-Korea/AutoRAG/compare/v0.2.18...v0.3.0

🚀 AutoRAG v0.3.0 is Here! 🚀

We're thrilled to introduce AutoRAG v0.3.0, packed with new features and key improvements. Here’s what’s new:

1. Improved Response Time for Deployment

In earlier versions, the response time during deployment was slow, making it difficult to use optimized RAG pipeline. With v0.3.0, we've significantly reduced the response time, making deployment much more efficient for user-facing services.

2. Re-designed Data Creation Process

Data creation is an essential part of optimizing RAG pipelines, and we've made the process much smoother. In earlier versions, this feature was still in its early stages. Now, in v0.3.0, you can build the data creation process within AutoRAG.

We’ve added AutoParse and AutoChunk, allowing you to configure, parse, and chunk your data using a single YAML file. You can also easily compare different methods to refine your pipeline. Whether you build QA datasets with LLMs or manually, this structure offers a human-in-the-loop process to help you create and manage your data.

Check out the detailed guide on data creation.

3. Python & Library Support Updates

• Python 3.9 is no longer supported. Please upgrade to Python 3.10.
• AutoRAG now works with LangChain 0.3, LlamaIndex 0.11, Pydantic v2, and OpenAI o1 models.

Share Your Feedback

Your insights help us improve AutoRAG! Let us know how these updates impact your workflow and what you’d like to see in future versions. Join Discord server now!

Thank you for being part of the AutoRAG journey!