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Releases: Marker-Inc-Korea/AutoRAG

v0.3.8

30 Oct 14:53
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Full Changelog: v0.3.7...v0.3.8

v0.3.7

24 Oct 03:44
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Full Changelog: v0.3.5...v0.3.7

v0.3.5

13 Oct 11:55
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  • Run validation at the start_trial by @vkehfdl1 in #826
  • AutoRAG api version & api docker container + gpu version docker container by @vkehfdl1 in #823
  • Add FlashRank Reranker module by @bwook00 in #818
  • set the fixed port number of the panel dashboard by @vkehfdl1 in #827
  • change stream to astream, and add non-async stream function by @vkehfdl1 in #835
  • add setup python at sphinx.yml by @vkehfdl1 in #836
  • Change recency filter parameter name to threshold_datetime from threshold by @vkehfdl1 in #837
  • Release/v0.3.5 by @vkehfdl1 in #838
  • [Hotfix] name change Konlpy at chunk_full.yaml by @bwook00 in #840

Full Changelog: v0.3.4...v0.3.5

v0.3.4

09 Oct 11:33
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Full Changelog: v0.3.3...v0.3.4

v0.3.3

05 Oct 07:52
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  • [Parse Bug] Fix only parse the first page of the whole pdf files by @bwook00 in #783
  • [Parse Bug] Add non-table exists page to use clova.py by @bwook00 in #784
  • Prevent error that httpx uses different event loop at method chaining on the QA by @vkehfdl1 in #785
  • add deepeval metrics by @Eastsidegunn in #750
  • Release/v0.3.3 by @vkehfdl1 in #803

Full Changelog: v0.3.2...v0.3.3

v0.3.2

03 Oct 02:30
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Full Changelog: v0.3.1...v0.3.2

v0.3.1

02 Oct 05:06
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  • Add toctree by @bwook00 in #745
  • Fix minor errors at the documentations by @vkehfdl1 in #747
  • add effective_order at bleu as True by @vkehfdl1 in #748
  • add passage dependency filter at data creation by @vkehfdl1 in #751
  • Add Passage Dependency at README.md by @bwook00 in #761
  • docs: update data_format.md by @eltociear in #772
  • change the README and tutorial of deploying the result. by @vkehfdl1 in #769
  • Windows support (partially) AutoRAG by @vkehfdl1 in #766
  • Feature/hongsw/671 dockerfile Add Dockerfile and Docker configuration for AutoRAG production environment by @hongsw in #763
  • Add total three evolving methods to QA creation by @vkehfdl1 in #767
  • Possible error when the QA retrieval_gt shape will be different by @vkehfdl1 in #774
  • dump version 0.3.1 by @vkehfdl1 in #776

New Contributors

Full Changelog: v0.3.0...v0.3.1

v0.3.0

25 Sep 17:14
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Full Changelog: 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!

v0.2.18

19 Sep 04:10
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Full Changelog: v0.2.17...v0.2.18

v0.2.17

16 Sep 11:11
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Full Changelog: v0.2.16...v0.2.17