Common AI ML Terms Part 3 | RAG, Vector DBs, Embedding Models, Chunking, MCP, AI Agents, Agentic AI

🚀 Learn RAG, MCP, AI Agents, and Reasoning in AI in a simple and practical way.
In this video, we cover the most important concepts for building production-ready AI systems — from LLM limitations to Retrieval-Augmented Generation, Model Context Protocol, AI Agents vs Agentic AI, and Reasoning — with real-world examples to help you understand and apply them effectively.

👉 In this video, you will learn:
🔹 LLM limitations and how to overcome them with RAG, tools, and MCP
🔹 RAG pipeline end-to-end: chunking, embeddings, vector databases, retrieval, and reranking
🔹 MCP (Model Context Protocol): architecture, tools, resources, and prompts
🔹 AI Agents vs Agentic AI: key differences, components, and real-world examples

This tutorial is ideal for beginners, developers, and engineers looking to build strong skills in AI, Machine Learning, Generative AI, and MLOps.

📌 Topics Covered

RAG, Retrieval-Augmented Generation, MCP, Model Context Protocol, AI Agents, Agentic AI, LLM Limitations, Vector Databases, Embeddings, Cosine Similarity, Semantic Search, Chunking Strategies, Hybrid Search, Reranking, Reasoning in AI, Knowledge Bases, Ingestion Pipeline

🧠 Why This Matters

Understanding RAG, MCP, and AI Agents helps you build scalable, real-world AI systems that go beyond simple text generation — enabling accurate retrieval, real-world actions, and autonomous problem-solving in production environments.

🔗 Resources

📂 GitHub Repository: https://github.com/kunchalavikram1427/ai_ml_made_easy_youtube
📘 Notes / Documentation: N/A

📚 Watch Next

▶️ Full Playlist: N/A
▶️ Related Video: N/A

🛠️ Tools & Tech

Python, LLMs, RAG, Vector Databases, Pinecone, Weaviate, ChromaDB, MCP, Embedding Models, OpenAI, Cohere, Hugging Face, LangChain, AI Agents, Generative AI

🤝 Connect With Me

🔗 LinkedIn: https://www.linkedin.com/in/vikrambabuk/
💻 GitHub: https://github.com/kunchalavikram1427

🔔 Stay Updated

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🏷️ Keywords
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⚡ About the Channel

Learn AI, ML, GenAI, and MLOps the simple way — from basics to real-world applications.

Видео Common AI ML Terms Part 3 | RAG, Vector DBs, Embedding Models, Chunking, MCP, AI Agents, Agentic AI канала DevOps Made Easy