RAG Best Practices¶
This guide covers essential best practices for building effective RAG systems.
1. Document Processing¶
- Clean and preprocess documents thoroughly
- Implement effective chunking strategies
- Maintain document metadata
- Handle different document formats consistently
2. Vector Storage¶
- Choose appropriate embedding models
- Optimize vector dimensions
- Implement efficient indexing
- Consider hybrid search approaches
3. Retrieval Strategy¶
- Design effective query processing
- Implement re-ranking mechanisms
- Use semantic and keyword search
- Handle edge cases and failures
4. Response Generation¶
- Implement proper prompt engineering
- Handle context limitations
- Ensure source attribution
- Validate generated responses
5. System Monitoring¶
- Track retrieval quality metrics
- Monitor embedding consistency
- Implement feedback loops
- Log system performance