
Build a q&a chatbot using Langchain and Groq to answer user queries from external data like PDFs. Understand Langchain's minimal-code approach and the use of .env for API keys.
Import libraries, load the API key from environment variables, and configure the grok language model with LangChain, chat prompts, and an output parser for a streamlet web interface.
Define a prompt that guides a chatbot to work as a helpful assistant by establishing system and user messages, including API keys, and handling custom user questions.
Define a prompt with system and user roles to guide a language model, create a generate_response function with engine, temperature, and max_tokens, and build a Streamlit Q&A app.
Learn to build a Streamlit web app with a sidebar model picker, temperature and max token sliders to control model creativity and response length.
Create a user input in Streamlit to capture a question and display the output, name it as user input, and test with typing hello while the model remains unconnected.
Define a response function to connect your web app to AI using user input, engine, temperature, and max tokens; explain no memory and need for vector store and retrieval chain.
"Welcome to the QnA Chatbot Development Course!"
In today’s fast-paced digital world, chatbots have become essential for improving user engagement and providing quick answers to customers' queries. This course is designed to guide you step-by-step through creating a Question-and-Answer (QnA) chatbot, a powerful tool that can transform documents, databases, or any source of information into a responsive, conversational AI assistant.
Whether you're aiming to automate customer support, improve educational tools, or explore the latest in AI technology, this course will equip you with the skills needed to build, optimize, and deploy a highly interactive QnA chatbot. We’ll delve into fundamental concepts, explore frameworks, and learn hands-on techniques to create a chatbot that can process natural language and deliver accurate, context-aware responses.
By the end of this course, you’ll have a fully functional QnA chatbot that can be integrated into various platforms, adding real value to users and organizations alike. Join us, and let's unlock the potential of conversational AI together!
No prior Experience required
Everything you'll be taught will be on a basic level
Everything used in this lecture will be Open Source and free to be used
Basic Knowledge of Python needed
If you ever get stuck in any of the lectures just comment down, I'll be ready to help