Building a RAG Chatbot with LangChain, OpenAI, and Groq
Qdrant - Vector Database & Search Engine via YouTube
The Most Addictive Python and SQL Courses
Master AI and Machine Learning: From Neural Networks to Applications
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Learn to build a chatbot from scratch using Retrieval Augmented Generation (RAG) in this 20-minute video tutorial. Explore the implementation of OpenAI's gpt-3.5-turbo LLM through LangChain's ChatOpenAI class, while leveraging OpenAI's text-embedding-3-small for embedding and Qdrant vector database as the knowledge base. Access the complete implementation through the provided Jupyter notebook and utilize the Mistral-7B ArXiv paper dataset from Hugging Face to create a functional chatbot with advanced retrieval capabilities.
Syllabus
Chatbot with RAG, using LangChain, OpenAI, and Groq
Taught by
Qdrant - Vector Database & Search Engine