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System Design
ByteByteGo·Jun 27·5 min read
EP220: RAG vs Graph RAG vs Agentic RAG
TL;DR
Software engineering teams often face delays due to slow quality assurance (QA) processes. QA Wolf was developed to automate testing for web and mobile applications, achieving 80% test coverage in weeks.
✦ Why It Matters
Engineers can leverage QA Wolf to streamline testing processes and accelerate software delivery.
Key Takeaways
- Use Standard RAG for quick, document-based queries.
- Implement Graph RAG for structured knowledge in specialized fields.
- Choose Agentic RAG for complex, multi-step reasoning tasks.
- Assess the cost and speed trade-offs of each RAG variant.
How It Works
Standard RAG converts queries into embeddings to find relevant data quickly, while Graph RAG uses a knowledge graph for structured data retrieval. Agentic RAG employs a reasoning agent to break down queries and ensure accurate context retrieval before generating answers.