RAG End to End Explained with LangChain | Vector Databases | Agentic AI скачать в хорошем качестве

RAG End to End Explained with LangChain | Vector Databases | Agentic AI

In this video, we will understand RAG (Retrieval-Augmented Generation) end to end — from basic AI foundations to building a real-world chatbot project using LangChain and OpenAI. Here is the GitHub repo link: https://github.com/switch2ai You can download all the code, scripts, and documents from the above GitHub repository. This video covers complete AI foundations before diving deep into RAG: • Introduction to Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) • Data Science fundamentals and feature engineering • Generative AI and real-world examples like ChatGPT, Gemini, Claude • Agentic AI vs AI Agents (Autonomous planning, tool usage, adaptation) • Types of LLMs (Commercial vs Open-source models) • How to get OpenAI API credits step by step • Using LangChain framework with OpenAI and Groq Then we deep dive into RAG architecture: • What is RAG and why it solves LLM limitations • Hallucination problem in LLMs • Context window limitation explained • PDF data extraction using LangChain PyPDFLoader • Chunking strategy using RecursiveCharacterTextSplitter • Embeddings and vector representation • Similarity search using cosine similarity • Vector databases: Pinecone, Milvus, FAISS, Chroma, pgvector • Passing relevant chunks to LLM for accurate responses Real Project Covered: PowerFit Fitness Center Chatbot Building an end-to-end RAG pipeline By the end of this video, you will clearly understand how modern AI systems use Retrieval-Augmented Generation to build production-level chatbots. Channel Name: Switch 2 AI 🔥 #RAG #RetrievalAugmentedGeneration #LangChain #LLM #VectorDatabase #Embeddings #GenerativeAI #OpenAI #AgenticAI #ChatbotDevelopment #ArtificialIntelligence #Switch2AI 🎯 RAG end to end retrieval augmented generation explained RAG tutorial LangChain RAG project vector database tutorial embeddings in NLP similarity search cosine similarity chunking strategy in RAG LLM limitations hallucination problem LLM context window limitation OpenAI API setup agentic AI vs AI agents commercial LLMs vs open source LLMs Pinecone FAISS Chroma chatbot using RAG PDF chatbot LangChain Generative AI project Switch 2 AI RAG 🎯 RAG end to end,retrieval augmented generation explained,RAG tutorial,LangChain RAG project,vector database tutorial,embeddings in NLP,similarity search cosine similarity,chunking strategy in RAG,LLM limitations,hallucination problem LLM,context window limitation,OpenAI API setup,agentic AI vs AI agents,commercial LLMs vs open source LLMs,Pinecone FAISS Chroma,chatbot using RAG,PDF chatbot LangChain,Generative AI project,Switch 2 AI,AI chatbot tutorial