Refactor contributing guidelines and FAQ automation

Removed outdated contribution methods and FAQ automation details.

Author: alexeygrigorev

README.md

@@ -12,7 +12,7 @@ A static site generator for DataTalks.Club course FAQs with automated AI-powered
 ## Project Structure
 
 ```
-datatalksclub-faq/
+faq/
 ├── _questions/              # FAQ content organized by course
 │   ├── machine-learning-zoomcamp/
 │   │   ├── _metadata.yaml   # Course configuration
@@ -38,73 +38,8 @@ datatalksclub-faq/
 
 ## Contributing FAQ Entries
 
-We welcome FAQ contributions! There are two ways to contribute:
-
-### 1. Automated (Recommended)
-
-Simply [create a new issue](https://github.com/DataTalksClub/faq/issues/new?template=faq-proposal.yml) using the "FAQ Proposal" template. Our FAQ Bot will:
-
-1. Analyze your proposal against existing FAQs
-2. Decide the best action (NEW, UPDATE, or DUPLICATE)
-3. Either create a PR with your changes or provide feedback
-
 See [CONTRIBUTING.md](CONTRIBUTING.md) for detailed instructions.
 
-### 2. Manual Pull Request
-
-1. Fork this repository
-2. Add/modify FAQ files in `_questions/{course}/{section}/`
-3. Follow the frontmatter format (see below)
-4. Create a Pull Request
-
-## FAQ File Format
-
-Each FAQ entry is a markdown file with YAML frontmatter:
-
-```markdown
----
-id: abc1234567
-question: 'How do I install the dependencies?'
-sort_order: 10
----
-
-Your answer content here.
-```
-
-### Frontmatter Fields
-
-- **id**: Unique 10-character identifier (auto-generated)
-- **question**: The FAQ question text
-- **sort_order**: Integer controlling order within section
-- **images** (optional): Array of image metadata for embedded images
-
-## FAQ Automation
-
-The FAQ automation system uses:
-
-- **minsearch**: Lightweight text search to find similar existing FAQs
-- **OpenAI GPT-5**: LLM-based decision making for triage
-- **Pydantic**: Structured output validation
-- **GitHub Actions**: Automated workflow orchestration
-
-### How It Works
-
-1. **Proposal Submission**: User creates GitHub issue with FAQ proposal
-2. **Retrieval**: System searches existing FAQs for similar content
-3. **LLM Analysis**: GPT-5 analyzes proposal + search results and decides:
-   - **NEW**: Question not covered → create new FAQ file
-   - **UPDATE**: Adds valuable context → merge with existing FAQ
-   - **DUPLICATE**: Already fully answered → close with explanation
-4. **Action Execution**:
-   - NEW/UPDATE: Create PR with file changes (issue auto-closes when PR is merged)
-   - DUPLICATE: Comment on issue and close immediately
-
-### Configuration
-
-The workflow requires:
-
-- **OPENAI_API_KEY**: Set as repository secret for GitHub Actions
-- **GitHub permissions**: `contents: write`, `issues: write`, `pull-requests: write`
 
 ## Development
 
@@ -189,40 +124,3 @@ See [testing documentation](tests/README.md) for detailed information about the
    - Applies Jinja2 templates
    - Generates course pages and index
    - Copies assets to `_site/`
-
-### FAQ Automation Pipeline
-
-1. **Issue Parsing**: Extract question/answer from GitHub issue
-2. **Index Building**: Create search index from existing FAQs
-3. **Retrieval**: Find top 5 similar FAQs
-4. **LLM Decision**: GPT-5 analyzes and decides action
-5. **Execution**: Create PR or comment based on decision
-
-## Dependencies
-
-### Core
-- **jinja2**: Template rendering
-- **mistune**: Markdown parsing
-- **pygments**: Syntax highlighting
-- **pyyaml**: YAML parsing
-
-### Automation
-- **minsearch**: FAQ search/retrieval
-- **openai**: LLM integration
-- **pydantic**: Data validation
-
-### Development
-- **pytest**: Testing framework
-
-## License
-
-[Add license information]
-
-## Support
-
-- **Issues**: Report bugs or request features via [GitHub Issues](https://github.com/DataTalksClub/faq/issues)
-- **Contributing**: See [CONTRIBUTING.md](CONTRIBUTING.md)
-
-## Acknowledgments
-
-Built with ❤️ for the DataTalks.Club community.