I Built an AI Legal Assistant in 15 Minutes (FastAPI + LangChain + ChromaDB Tutorial) скачать в хорошем качестве

I Built an AI Legal Assistant in 15 Minutes (FastAPI + LangChain + ChromaDB Tutorial)

Learn how to build SahakarBot - an intelligent AI chatbot for legal documents using FastAPI, LangChain, ChromaDB, and React! This complete tutorial covers PDF processing, vector databases, embeddings, and deployment on Google Cloud Run. 🚀 What You'll Learn: • Build a FastAPI backend with LangChain • Implement RAG (Retrieval Augmented Generation) • Use ChromaDB for vector storage • Process PDFs with PyPDFLoader • Generate embeddings with HuggingFace • Integrate Perplexity AI for responses • Create a React chatbot frontend • Deploy with Docker + Google Cloud Run ⏱️ Timestamps: 0:00 - Demo & Introduction 4:36 - Architecture Overview 6:21 - Fast API Endpoints code 7:43 - Chatbot In idealization 8:40 - PDF Processing & Text Chunking 10:00 - Vector Databases Explained 11:15 - Perplexity AI & Prompts 13:40 - Lang Chain Integration 14:36 - Chat Memory & Context 15:58 - Complete flow of the logic 17:50 - Outro 🔗 GitHub Repos: Backend: https://github.com/omrawal/SahakarBot... Frontend: https://github.com/omrawal/SahakarBot... 💻 Tech Stack: • FastAPI • LangChain • ChromaDB (Vector Database) • Perplexity AI • HuggingFace Embeddings • React.js • Docker • Google Cloud Run 📚 Resources: • LangChain Docs: https://python.langchain.com/ • ChromaDB Docs: https://docs.trychroma.com/ • FastAPI Docs: https://fastapi.tiangolo.com/ Perfect for developers interested in AI, chatbots, RAG systems, and full-stack development! #AI #Chatbot #FastAPI #LangChain #ChromaDB #RAG #Python #React #MachineLearning #VectorDatabase --- 📧 Questions? Drop a comment below! ⭐ Star the repos on GitHub! 🔔 Subscribe for more AI tutorials!