update rag doc
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For certain LLM tasks like answering questions, providing relevant context is essential. One common architecture is a **two-stage** RAG pipeline:
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1. **Offline stage**: Preprocess and index documents ("building the index").
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2. **Online stage**: Given a question, generate answers by retrieving the most relevant context from the index.
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<div align="center">
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<img src="https://github.com/the-pocket/PocketFlow/raw/main/assets/rag.png?raw=true" width="250"/>
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<img src="https://github.com/the-pocket/PocketFlow/raw/main/assets/rag.png?raw=true" width="400"/>
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</div>
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1. **Offline stage**: Preprocess and index documents ("building the index").
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2. **Online stage**: Given a question, generate answers by retrieving the most relevant context.
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---
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## Stage 1: Offline Indexing
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