General Q&A:
→ Standard RAG
Personal assistants, research helpers:
→ Agentic RAG
Expert systems (medicine, law, engineering):
→ Graph RAG
Large projects with frequent updates:
→ Modular RAG
Chatbots with long-term context:
→ Memory-Augmented RAG
Image captions, video summarization:
→ Multi-Modal RAG
Healthcare, sensitive data, cross-org platforms:
→ Federated RAG
Live reports, financial tickers:
→ Streaming RAG
Search engines, virtual assistants:
→ ODQA RAG
Support chatbots:
→ Contextual Retrieval RAG
Legal, medical, educational tools:
→ Knowledge-Enhanced RAG + Domain-Specific RAG
Complex Q&A with lexical + semantic matching:
→ Hybrid RAG
Content generation where high accuracy is needed:
→ Self-RAG
Help with research in niche topics:
→ HyDE RAG
Analytical tasks, multi-turn dialogue:
→ Recursive / Multi-Step RAG
••••••••••••••••••••••••••••••••••••••••••••••
🤖 Data & ML | @DataXplore
