I rebuilt my Financial Mentor retrieval from scratch. Here's everything the RAG stack taught me
📰 Dev.to · Saulo Linares
Rebuilding a financial mentor retrieval system from scratch using the RAG stack reveals key lessons on hybrid search, CRAG, and adversarial evaluation
Action Steps
- Build a basic RAG pipeline using GraphRAG
- Configure hybrid search to combine multiple retrieval methods
- Implement CRAG to improve retrieval accuracy
- Conduct adversarial evaluation to test system robustness
- Optimize the system using lessons learned from the RAG stack
Who Needs to Know This
Data scientists and software engineers working on information retrieval systems can benefit from this article, as it provides insights on building and evaluating complex search systems
Key Insight
💡 The RAG stack offers a powerful framework for building and evaluating complex information retrieval systems, but requires careful configuration and testing
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🚀 Rebuilding a financial mentor retrieval system from scratch with the RAG stack! 🤖 Key takeaways on hybrid search, CRAG, and adversarial evaluation 💡
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