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Rahul Agarwal

Founder | Agentic AI...ย โ€ขย 2m

Simple breakdown of different elements in AI systems today. Extremely easy to understand. Hereโ€™s more: ๐—Ÿ๐—Ÿ๐— ๐˜€ โ†’ Great at text generation and reasoning, but limited to training data. ๐—ฅ๐—”๐—š (๐—ฅ๐—ฒ๐˜๐—ฟ๐—ถ๐—ฒ๐˜ƒ๐—ฎ๐—น-๐—”๐˜‚๐—ด๐—บ๐—ฒ๐—ป๐˜๐—ฒ๐—ฑ ๐—š๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป) โ†’ Brings in external knowledge for more relevant answers. ๐—ง๐—ผ๐—ผ๐—น / ๐—™๐˜‚๐—ป๐—ฐ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ฎ๐—น๐—น๐—ถ๐—ป๐—ด โ†’ Connects LLMs with APIs and services for real-world interaction. ๐—”๐—œ ๐—”๐—ด๐—ฒ๐—ป๐˜๐˜€ โ†’ Show autonomy with goal-driven planning and adaptive tool usage. ๐—”๐—ด๐—ฒ๐—ป๐˜๐—ถ๐—ฐ & ๐—š๐—ฟ๐—ฎ๐—ฝ๐—ต ๐—ฅ๐—”๐—š โ†’ Smarter retrieval and knowledge graph reasoning for deeper insights. ๐— ๐˜‚๐—น๐˜๐—ถ-๐—ฎ๐—ด๐—ฒ๐—ป๐˜ ๐—ฆ๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€ โ†’ Specialized agents collaborating like teams to solve complex problems. ๐— ๐—–๐—ฃ (๐— ๐—ผ๐—ฑ๐—ฒ๐—น ๐—–๐—ผ๐—ป๐˜๐—ฒ๐˜…๐˜ ๐—ฃ๐—ฟ๐—ผ๐˜๐—ผ๐—ฐ๐—ผ๐—น) โ†’ The next frontier: unified knowledge sharing across platforms. Look at the chart below for more information. Anything you would like to add? Repost this to help others in your network understand AI better.

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Rahul Agarwal

Founder | Agentic AI...ย โ€ขย 3m

Simple explanation of Traditional RAG vs Agentic RAG vs MCP. 1. ๐—ง๐—ฟ๐—ฎ๐—ฑ๐—ถ๐˜๐—ถ๐—ผ๐—ป๐—ฎ๐—น ๐—ฅ๐—”๐—š (๐—ฅ๐—ฒ๐˜๐—ฟ๐—ถ๐—ฒ๐˜ƒ๐—ฎ๐—น-๐—”๐˜‚๐—ด๐—บ๐—ฒ๐—ป๐˜๐—ฒ๐—ฑ ๐—š๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป) โ€ข ๐—ฆ๐˜๐—ฒ๐—ฝ 1: ๐—จ๐˜€๐—ฒ๐—ฟ ๐—ฎ๐˜€๐—ธ๐˜€ ๐—ฎ ๐—พ๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป. Example: โ€œ๐˜ž๐˜ฉ๐˜ข๐˜ต ๐˜ช๐˜ด ๐˜ต๐˜ฉ๐˜ฆ ๐˜ค๐˜ข๐˜ฑ๐˜ช๏ฟฝ

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Rahul Agarwal

Founder | Agentic AI...ย โ€ขย 2m

3 ways how most AI systems are built. Iโ€™ve explained each one step-by-step. 1) ๐—ง๐—ฟ๐—ฎ๐—ฑ๐—ถ๐˜๐—ถ๐—ผ๐—ป๐—ฎ๐—น ๐—”๐—œ (๐˜€๐˜๐—ฒ๐—ฝ-๐—ฏ๐˜†-๐˜€๐˜๐—ฒ๐—ฝ) 1. ๐—ฆ๐—ฒ๐˜ ๐˜๐—ฎ๐˜€๐—ธ โ€“ Decide what problem the model should solve. 2. ๐—–๐—ผ๐—น๐—น๐—ฒ๐—ฐ๐˜ ๐—ฑ๐—ฎ๐˜๐—ฎ โ€“ Gather lots of example

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Rahul Agarwal

Founder | Agentic AI...ย โ€ขย 2d

LangGraph vs Autogen vs CrewAI, which to choose? I've given a breakdown of which is best for you. ๐—Ÿ๐—ฎ๐—ป๐—ด๐—š๐—ฟ๐—ฎ๐—ฝ๐—ต (๐—–๐—ผ๐—บ๐—ฝ๐—น๐—ฒ๐˜… ๐—ช๐—ผ๐—ฟ๐—ธ๐—ณ๐—น๐—ผ๐˜„๐˜€) LangGraph is ideal for ๐—ฏ๐˜‚๐—ถ๐—น๐—ฑ๐—ถ๐—ป๐—ด ๐—ฐ๐—ผ๐—บ๐—ฝ๐—น๐—ฒ๐˜…, ๐—บ๐˜‚๐—น๐˜๐—ถ-๐˜€๐˜๐—ฒ๐—ฝ ๐—”๐—œ ๐˜„๐—ผ๐—ฟ๐—ธ๐—ณ๐—น๐—ผ

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Rahul Agarwal

Founder | Agentic AI...ย โ€ขย 5d

2 ways AI systems today generate smarter answers. Iโ€™ve explained both in simple steps below. ๐—ฅ๐—”๐—š (๐—ฅ๐—ฒ๐˜๐—ฟ๐—ถ๐—ฒ๐˜ƒ๐—ฎ๐—น-๐—”๐˜‚๐—ด๐—บ๐—ฒ๐—ป๐˜๐—ฒ๐—ฑ ๐—š๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป) (๐˜ด๐˜ต๐˜ฆ๐˜ฑ-๐˜ฃ๐˜บ-๐˜ด๐˜ต๐˜ฆ๐˜ฑ) RAG lets AI fetch and use real-time external information to ge

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Rahul Agarwal

Founder | Agentic AI...ย โ€ขย 8d

9 Steps to Build AI Agents from Scratch. I've given a simple step by step explanation. ๐—ฆ๐˜๐—ฒ๐—ฝ 1: ๐—˜๐˜€๐˜๐—ฎ๐—ฏ๐—น๐—ถ๐˜€๐—ต ๐— ๐—ถ๐˜€๐˜€๐—ถ๐—ผ๐—ป & ๐—ฅ๐—ผ๐—น๐—ฒ โ€ข Decide what problem the agent will solve. โ€ข Figure out who will use it. โ€ข Plan how users will interact

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