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Most people use basic RAG but miss crucial ones. I've explained each in very simple below. 1. 𝗦𝗲𝗾𝘂𝗲𝗻𝘁𝗶𝗮𝗹 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 (𝗕𝗮𝘀𝗶𝗰 𝗥𝗔𝗚 𝗙𝗹𝗼𝘄) Everything happens in a fixed order, step by step. Step-by-step: 1. 𝗨𝘀𝗲𝗿 𝗮𝘀𝗸𝘀 𝗮 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 2. 𝗣𝗿𝗼𝗺𝗽𝘁 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 • The system improves or refines the question. 3. 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗔𝗴𝗲𝗻𝘁 - Searches relevant data from: • Planning / Memory • External Data Sources 4. 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗼𝗿 • Uses retrieved information to generate the final answer. 5. 𝗙𝗶𝗻𝗮𝗹 𝗢𝘂𝘁𝗽𝘂𝘁 𝗶𝘀 𝘀𝗲𝗻𝘁 𝘁𝗼 𝘁𝗵𝗲 𝘂𝘀𝗲𝗿 Simple Idea: 𝗨𝘀𝗲𝗿 → 𝗥𝗲𝗳𝗶𝗻𝗲 → 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗲 → 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗲 → 𝗔𝗻𝘀𝘄𝗲𝗿 Best for simple, structured queries. Not very flexible. _________________ 2. 𝗥𝗼𝘂𝘁𝗲𝗿 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 (𝗦𝗺𝗮𝗿𝘁 𝗧𝗿𝗮𝗳𝗳𝗶𝗰 𝗖𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗲𝗿) A router decides which agent should handle the request. Step-by-step: 1. 𝗨𝘀𝗲𝗿 𝗮𝘀𝗸𝘀 𝗮 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 2. 𝗥𝗼𝘂𝘁𝗲𝗿 𝗮𝗻𝗮𝗹𝘆𝘇𝗲𝘀 𝘁𝗵𝗲 𝗾𝘂𝗲𝗿𝘆 3. Router decides: • If it's data-related → Send to 𝗗𝗮𝘁𝗮 𝗔𝗴𝗲𝗻𝘁 • If it's search-related → Send to 𝗦𝗲𝗮𝗿𝗰𝗵 𝗔𝗴𝗲𝗻𝘁 4. Relevant agent fetches data: • Enterprise data • External sources 5. 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗼𝗿 𝗽𝗿𝗼𝗱𝘂𝗰𝗲𝘀 𝗳𝗶𝗻𝗮𝗹 𝗮𝗻𝘀𝘄𝗲𝗿 Simple Idea: 𝗨𝘀𝗲𝗿 → 𝗥𝗼𝘂𝘁𝗲𝗿 → 𝗕𝗲𝘀𝘁 𝗘𝘅𝗽𝗲𝗿𝘁 → 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗼𝗿 → 𝗔𝗻𝘀𝘄𝗲𝗿 Good for multi-department systems. Needs good classification logic. _________________ 3. 𝗣𝗮𝗿𝗮𝗹𝗹𝗲𝗹 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 (𝗧𝗲𝗮𝗺𝘄𝗼𝗿𝗸 𝗠𝗼𝗱𝗲𝗹) Multiple agents work at the same time. Step-by-step: 1. 𝗨𝘀𝗲𝗿 𝗮𝘀𝗸𝘀 𝗮 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 2. A 𝗟𝗲𝗮𝗱 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿 𝗮𝗴𝗲𝗻𝘁 coordinates the process 3. Multiple agents run in parallel: • Search Agent • Documentation Agent • Citation Agent 4. All results go back to the Main Researcher 5. Main Researcher combines findings 6. 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗼𝗿 𝗰𝗿𝗲𝗮𝘁𝗲𝘀 𝗳𝗶𝗻𝗮𝗹 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗮𝗻𝘀𝘄𝗲𝗿 Simple Idea: Everyone works together → Team leader combines → Final answer. Faster for complex research and high quality. More expensive (more compute) __________________ 4. 𝗖𝗿𝗶𝘁𝗶𝗾𝘂𝗲 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 (𝗦𝗲𝗹𝗳-𝗜𝗺𝗽𝗿𝗼𝘃𝗶𝗻𝗴 𝗟𝗼𝗼𝗽) The system checks its own work before giving final output. Step-by-step: 1. 𝗨𝘀𝗲𝗿 𝗮𝘀𝗸𝘀 𝗮 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 2. System retrieves enterprise data 3. Generator creates an initial answer 4. 𝗦𝗲𝗹𝗳-𝗥𝗲𝗳𝗹𝗲𝗰𝘁𝗶𝗼𝗻 / 𝗖𝗿𝗶𝘁𝗶𝗾𝘂𝗲 𝗮𝗴𝗲𝗻𝘁 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗲𝘀 𝗶𝘁 5. If quality is low: • Query rewriting happens • Retrieval runs again • Generator regenerates 6. Final improved answer is delivered Simple Idea: Write → Review → Improve → Finalize. Better for enterprise or high-stakes use. Slower due to re-processing. ✅ If you’re building AI systems: Start with → 𝗦𝗲𝗾𝘂𝗲𝗻𝘁𝗶𝗮𝗹 Scale to → 𝗥𝗼𝘂𝘁𝗲𝗿 Improve quality → 𝗣𝗮𝗿𝗮𝗹𝗹𝗲𝗹 + 𝗖𝗿𝗶𝘁𝗶𝗾𝘂𝗲 ✅ Repost for people building AI systems in your network.