有两个问题。第一个是作为教学项目，如何使用是次要的，主要需要教会读者的是实现思路，最好是图文结合，希望能够代入一个小白读者的视角自己判断一下，通过读自己的文档能否学会如何实现这个项目。第二个问题是二级标题分的太多了，建议找一下自己觉得写的好的教学文档，参考一下格式和内容。这不是随便用ai完成的任务，我们需要对读者负责

Thank you for the valuable feedback! I completely agree with your points about making this a proper educational resource.

I've made significant improvements based on your suggestions:

1. Implementation-focused tutorial with diagrams:

• Moved the project to Extra-chapter/PowerRAG-SDK-Text-QA/ following the repository's structure
• Added comprehensive tutorial with 3 detailed diagrams explaining:
  • End-to-end workflow (upload → parse → vectorize → retrieve)
  • Object relationships (dataset/document/chunk/embedding)
  • API interaction sequence
• Wrote step-by-step implementation guide from a beginner's perspective
• Each code section now includes explanations of "why" not just "how"

2. Improved structure:

• Reduced excessive headings - reorganized into logical sections
• Combined related content into cohesive explanations
• Moved environment/API setup to appendix to keep the main flow focused

3. Educational approach:

• Added "小白自检" (beginner checkpoints) throughout to verify understanding
• Included common pitfalls and troubleshooting tips
• Explained core concepts before diving into code

The new documentation aims to teach readers the implementation 思路 (thought process) behind RAG retrieval, not just provide a working script. I'd appreciate your review of the updated version.

Thank you for holding contributors to high standards - it makes the project better for all learners!

感谢你的再次优化