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docs: add FAQ section - #1123

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meichuanyi:docs-faq-1778458917
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meichuanyi wants to merge 1 commit into
LazyAGI:mainfrom
meichuanyi:docs-faq-1778458917

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Adds a comprehensive FAQ section to help users quickly understand LazyLLM:

  • What is LazyLLM: Low-code multi-agent LLM application development tool
  • Comparison: Differences from LangChain/CrewAI
  • Installation: pip install method
  • LLM providers: Online (OpenAI/Azure/Anthropic/Google) and local models
  • Local models: Using LightLLM/vLLM inference frameworks
  • One-click deployment: POC and release phase deployment
  • Cross-platform: Bare-metal/Slurm/public clouds support
  • Fine-tuning: In-application model fine-tuning
  • Help resources: Documentation/Discord/GitHub Issues

This FAQ aims to reduce user confusion and improve the onboarding experience.

…roviders, local models, deployment, platforms, fine-tuning, and help resources
@meichuanyi
meichuanyi requested a review from a team as a code owner May 11, 2026 00:22

@gemini-code-assist gemini-code-assist Bot left a comment

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Code Review

This pull request adds a detailed FAQ section to the README.md, providing information on LazyLLM's features, comparisons with other frameworks, and deployment options. The review feedback recommends moving the FAQ to the end of the file to preserve the document's flow, removing a redundant installation step to avoid inconsistency, standardizing arrow characters for consistency, and adding a blank line before the Installation header for correct Markdown rendering.

Comment thread README.md
5. **Supports basic webs**: such as chat interface and document management interface, etc.


## FAQ

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medium

The FAQ section is currently placed between the feature list and the installation guide. Typically, FAQs are placed at the end of the README to avoid interrupting the flow for users looking for setup instructions. Consider moving this entire block to the end of the file.

Comment thread README.md

### How does LazyLLM differ from LangChain or CrewAI?

- **LazyLLM**: Low-code approach, focuses on rapid prototyping → data feedback → iterative optimization, one-click deployment, cross-platform compatibility

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medium

Use the ASCII arrow -> instead of the Unicode arrow to maintain consistency with the terminology used in the introduction (line 16).

Suggested change
- **LazyLLM**: Low-code approach, focuses on rapid prototyping data feedback iterative optimization, one-click deployment, cross-platform compatibility
- **LazyLLM**: Low-code approach, focuses on rapid prototyping -> data feedback -> iterative optimization, one-click deployment, cross-platform compatibility

Comment thread README.md
Comment on lines +190 to +195
### How do I install LazyLLM?

```bash
pip install lazyllm
```

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medium

This installation question is redundant as a dedicated 'Installation' section follows immediately after the FAQ. Additionally, it uses pip while the main section uses pip3. Removing this entry prevents duplication and potential inconsistency.

Comment thread README.md
- **Documentation**: https://docs.lazyllm.ai/
- **Discord**: https://discord.gg/cDSrRycuM6
- **GitHub Issues**: https://github.com/LazyAGI/LazyLLM/issues
## Installation

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medium

A blank line is missing before the ## Installation header. Adding it ensures consistent section spacing and proper Markdown rendering.

Suggested change
## Installation
## Installation

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