06 lang model

Описание: 🔍 Build a Smart Q&A App with Retrieval-Augmented Generation (RAG) | LangChain + HuggingFace + FAISS + Streamlit

In this video, we walk through building a complete RAG (Retrieval-Augmented Generation) pipeline from scratch — the same technology powering next-gen AI assistants!

You'll learn how to:

✅ Load and process a custom JSON dataset
✅ Convert FAQs into document embeddings
✅ Store and retrieve documents using FAISS
✅ Generate accurate answers using HuggingFace’s Flan-T5 model
✅ Build an interactive UI with Streamlit

🎯 Whether you're a beginner or an aspiring AI engineer, this project will show you how to combine retrieval + generation to create smarter, context-aware applications.

🔧 Tech Stack:

Python

LangChain

HuggingFace Transformers

FAISS (Vector Store)

Streamlit (UI)

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#LangChain #RAG #HuggingFace #AI #Streamlit #FAISS #Python #LLM #MachineLearning #OpenSourceAI