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update rag doc

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zachary62 2025-03-08 01:28:33 -05:00
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docs/design_pattern/rag.md
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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: For certain LLM tasks like answering questions, providing relevant context is essential. One common architecture is a **two-stage** RAG pipeline:
1. **Offline stage**: Preprocess and index documents ("building the index").
2. **Online stage**: Given a question, generate answers by retrieving the most relevant context from the index.
<div align="center"> <div align="center">
<img src="https://github.com/the-pocket/PocketFlow/raw/main/assets/rag.png?raw=true" width="250"/> <img src="https://github.com/the-pocket/PocketFlow/raw/main/assets/rag.png?raw=true" width="400"/>
</div> </div>
1. **Offline stage**: Preprocess and index documents ("building the index").
2. **Online stage**: Given a question, generate answers by retrieving the most relevant context.
--- ---
## Stage 1: Offline Indexing ## Stage 1: Offline Indexing