
A concise overview of nine RAG (retrieval-augmented generation) architecture patterns, explaining deterministic and agentic approaches and guidance on use cases and trade-offs.
– Naive RAG: baseline for simple FAQ-style retrieval.
– Query transformation & RAG fusion: decompose and expand queries to fetch diverse chunks.
– Iterative & adaptive retrieval: multi-pass retrieval and decide whether/what retrieval is needed.
– Agentic patterns: agent-driven retrieval, hybrid sources, multi-/sequential agents, and agentic routing to route queries to specialists.
Quotes:
Nine RAG patterns you need if you’re serious about building AI systems.
Give the LLM decision-making powers — it can decide what to retrieve and how many times.
There’s no one-size-fits-all with RAG; choose the pattern that fits your use case.
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| Upload date: | 2025-11-20 |
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| Likes: | 316 |
| Comments: | 4 |
| Fan Rate: | 0.87% |
| Statistics updated: | 2025-12-01 |
Specification: 9 Essential RAG Design Patterns You NEED to Know
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