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Move GenAI page to getting-started directory and update SUMMARY.md
Co-Authored-By: Francisco Javier Arceo <farceo@redhat.com>
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## Getting started

* [Quickstart](getting-started/quickstart.md)
* [GenAI](getting-started/genai.md)
* [Feast for Generative AI](getting-started/genai.md)
* [Architecture](getting-started/architecture/README.md)
* [Overview](getting-started/architecture/overview.md)
* [Language](getting-started/architecture/language.md)
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3 changes: 3 additions & 0 deletions docs/getting-started/genai.md
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3. **Chunking**: Split documents into smaller, semantically meaningful chunks
4. **Embedding Generation**: Convert text chunks into vector embeddings
5. **Storage**: Store embeddings and metadata in Feast's feature store

### Feature Transformation for LLMs

Feast supports transformations that can be used to:
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distance_metric='COSINE',
).to_df()
```

## Use Cases

### Document Question-Answering
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- Generating embeddings for millions of text chunks
- Efficiently materializing features to vector databases
- Scaling RAG applications to enterprise-level document repositories

## Learn More

For more detailed information and examples:
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