16 Types of RAG Architectures Shaping AI Innovation
goyalshaliniuk · x · 2026-08-25
The post details 16 RAG (Retrieval-Augmented Generation) variations and their use cases:
- Standard RAG: Basic QA and knowledge synthesis.
- Agentic RAG: Autonomous retrieval and tool-using agents.
- Graph RAG: Knowledge graphs for relational reasoning (law/medical).
- Modular RAG: Decoupled retrieval, reasoning, and generation.
- Memory-Augmented RAG: External persistent memory for long-term context.
- Multi-Modal RAG: Processing text, images, and audio.
- Federated RAG: Privacy-preserving decentralized retrieval.
- Streaming RAG: Real-time retrieval and generation.
- ODQA RAG: Open-domain QA for massive datasets.
- Contextual Retrieval RAG: Session-level awareness.
- Knowledge-Enhanced RAG: Integrated structured domain data.
- Domain-Specific RAG: Tailored for finance, healthcare, etc.
- Hybrid RAG: Combining retrieval strategies for precision.
- Self-RAG: Self-reflection for fact-checking.
- HyDE RAG: Hypothetical document embeddings to guide retrieval.
- Recursive RAG: Multi-step retrieval loops for complex reasoning.
The post concludes by asking which type will dominate enterprise AI in 2026.
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