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Update README and github template (#186)
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.github/ISSUE_TEMPLATE/bug_report.yml
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.github/ISSUE_TEMPLATE/bug_report.yml
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name: Bug Report
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description: Create a bug issue for infinity
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title: "[Bug]: "
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labels: [bug]
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body:
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- type: checkboxes
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attributes:
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label: Is there an existing issue for the same bug?
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description: Please check if an issue already exists for the bug you encountered.
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options:
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- label: I have checked the existing issues.
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required: true
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- type: markdown
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attributes:
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value: "Please provide the following information to help us understand the issue."
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- type: input
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attributes:
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label: Branch name
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description: Enter the name of the branch where you encountered the issue.
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placeholder: e.g., main
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validations:
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required: true
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- type: input
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attributes:
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label: Commit ID
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description: Enter the commit ID associated with the issue.
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placeholder: e.g., c3b2a1
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validations:
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required: true
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- type: textarea
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attributes:
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label: Other environment information
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description: |
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Enter the environment details:
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value: |
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- Hardware parameters:
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- OS type:
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- Others:
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render: Markdown
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validations:
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required: false
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- type: textarea
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attributes:
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label: Actual behavior
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description: Describe what you encountered.
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validations:
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required: true
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- type: textarea
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attributes:
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label: Expected behavior
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description: Describe what you expected.
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validations:
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required: false
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- type: textarea
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attributes:
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label: Steps to reproduce
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description: Steps to reproduce what you encountered.
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render: Markdown
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validations:
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required: true
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- type: textarea
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attributes:
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label: Additional information
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description: |
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Log, error message, or any other information can help find the root cause.
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validations:
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required: false
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.github/ISSUE_TEMPLATE/feature_request.md
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.github/ISSUE_TEMPLATE/feature_request.md
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---
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name: Feature request
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title: '[Feature Request]: '
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about: Suggest an idea for Infinity
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labels: ''
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---
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**Summary**
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Description for this feature.
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.github/ISSUE_TEMPLATE/feature_request.yml
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.github/ISSUE_TEMPLATE/feature_request.yml
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name: Feature request
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description: Propose a feature request for infinity.
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title: "[Feature Request]: "
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labels: [feature request]
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body:
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- type: checkboxes
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attributes:
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label: Is there an existing issue for the same feature request?
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description: Please check if an issue already exists for the feature you request.
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options:
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- label: I have checked the existing issues.
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required: true
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- type: textarea
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attributes:
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label: Is your feature request related to a problem?
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description: |
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A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
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render: Markdown
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validations:
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required: false
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- type: textarea
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attributes:
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label: Describe the feature you'd like
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description: A clear and concise description of what you want to happen.
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validations:
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required: true
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- type: textarea
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attributes:
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label: Describe implementation you've considered
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description: A clear and concise description of implementation you've considered or investigated.
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validations:
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required: false
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- type: textarea
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attributes:
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label: Documentation, adoption, use case
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description: If you can, explain some scenarios how users might use this, situations it would be helpful in. Any API designs, mockups, or diagrams are also helpful.
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render: Markdown
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validations:
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required: false
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- type: textarea
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attributes:
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label: Additional information
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description: |
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Add any other context or screenshots about the feature request here.
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validations:
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required: false
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.github/ISSUE_TEMPLATE/question.yml
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.github/ISSUE_TEMPLATE/question.yml
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name: Question
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description: Ask questions on infinity
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title: "[Question]: "
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labels: [question]
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body:
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- type: markdown
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attributes:
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value: |
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If the previous templates don't fit with what you'd like to report or ask, please use this general question template to file issue.
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- type: textarea
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attributes:
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label: Describe your problem
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description: A clear and concise description of your problem.
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validations:
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required: true
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.github/ISSUE_TEMPLATE/subtask.yml
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.github/ISSUE_TEMPLATE/subtask.yml
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name: Subtask
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description: "Propose a subtask for infinity"
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title: "[Subtask]: "
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labels: [subtask]
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body:
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- type: textarea
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attributes:
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label: Parent Issue
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description: Write the ID of the parent issue
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placeholder: "Parent issue: #"
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validations:
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required: true
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- type: textarea
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attributes:
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label: Detail of Subtask
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description: |
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Describe the functions that this subtask should implement
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validations:
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required: true
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- type: textarea
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attributes:
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label: Describe implementation you've considered
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description: A clear and concise description of implementation you've considered or investigated.
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validations:
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required: false
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.github/pull_request_template.md
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.github/pull_request_template.md
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### What problem does this PR solve?
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Add corresponding issue link with summary if exists -->
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_Briefly describe what this PR aims to solve. Include background context that will help reviewers understand the purpose of the PR._
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Issue link:
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Issue link:#[Link the issue here]
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### What is changed and how it works?
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### Type of change
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### Code changes
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- [ ] Has Code change
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- [ ] Has CI related scripts change
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### Check List
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Tests <!-- At least one of them must be included. -->
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- [ ] Unit test
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- [ ] Integration test
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- [ ] Manual test (add detailed scripts or steps below)
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- [ ] No code
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Side effects
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- [ ] Performance regression: Consumes more CPU
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- [ ] Performance regression: Consumes more Memory
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- [ ] Breaking backward compatibility
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### Note for reviewer
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- [ ] Bug Fix (non-breaking change which fixes an issue)
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- [ ] New Feature (non-breaking change which adds functionality)
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- [ ] Breaking Change (fix or feature that could cause existing functionality not to work as expected)
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- [ ] Documentation Update
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- [ ] Refactoring
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- [ ] Performance Improvement
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- [ ] Test cases
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- [ ] Python SDK impacted, Need to update PyPI
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- [ ] Other (please describe):
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@ -22,7 +22,7 @@
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## 💡 What is RAGFlow?
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[RAGFlow](http://demo.ragflow.io) is an open-source, Retrieval-Augmented Generation engine built on large language models (LLM) and deep document understanding. It offers a streamlined RAG workflow for businesses of any scale, providing truthful responses with solid citations through a generative AI knowledge management platform.
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[RAGFlow](https://demo.ragflow.io) is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. It offers a streamlined RAG workflow for businesses of any scale, combining LLM (Large Language Models) to provide truthful question-answering with well-founded citations for various complex fomatted data.
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## 🌟 Key Features
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## 💡 RAGFlow 是什么?
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[RAGFlow](http://demo.ragflow.io) 是一款基于大型语言模型(LLM)以及深度文档理解构建的开源检索增强型生成引擎(Retrieval-Augmented Generation Engine)。RAGFlow 可以为各种规模的企业提供一套精简的 RAG 工作流程,通过生成式 AI (Generative AI)知识管理平台提供可靠的问答以及有理有据的引用。
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[RAGFlow](https://demo.ragflow.io) 是一款基于深度文档理解构建的开源 RAG(Retrieval-Augmented Generation)引擎。RAGFlow 可以为各种规模的企业及个人提供一套精简的 RAG 工作流程,结合大语言模型(LLM)针对用户各类不同的复杂格式数据提供可靠的问答以及有理有据的引用。
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## 🌟 主要功能
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