Fast API based RAG chatbot

Description

Build a Powerful RAG Chatbot with FastAPI & AI! In this project, we create a Retrieval-Augmented Generation (RAG) chatbot using FastAPI, vector databases, and Large Language Models (LLMs). This chatbot can understand your custom documents and provide intelligent, context-aware answers in real time. What You'll Learn: ✅ FastAPI backend development ✅ Building REST APIs for AI apps ✅ RAG (Retrieval-Augmented Generation) architecture ✅ Document embedding & vector search ✅ Connecting LLMs with your data ✅ Creating scalable AI chatbot systems Technologies Used: * FastAPI * Python * LangChain * Vector Database * OpenAI / LLM APIs * Uvicorn Features: ⚡ Fast and scalable backend 📄 Chat with your own documents 🧠 Context-aware AI responses 🔍 Semantic search using embeddings 🌐 Easy API integration with frontend apps If you enjoyed this project, don’t forget to: 👍 Like the video 🔔 Subscribe for more AI & Python projects 💬 Comment your questions below #FastAPI #RAG #Chatbot #Python #AI #MachineLearning #LangChain #LLM #ArtificialIntelligence #OpenAI