Langchain RAG Course: From Basics to Production-Ready RAG Chatbot
Pradip Nichite
159,357 views
Build a production-ready Retrieval-augmented generation (RAG) chatbot that can answer questions based on your own documents using Langchain. This comprehensive tutorial guides you through creating a multi-user chatbot with FastAPI backend and Streamlit frontend, covering both theory and hands-on implementation.
Topics covered:
RAG fundamentals and applications
Langchain basics and LCEL
Document processing and vector databases
Building conversational RAG chains
Multi-user chatbot development
FastAPI integration
Streamlit interface creation
By the end of this video, you'll have built a functional AI chatbot capable of answering questions based on custom data sources.
For code samples and additional resources, visit our blog: https://blog.futuresmart.ai/series/la...
#Langchain #RAG #ragchatbot #llm
20 Comments
However , having said that , this tutorial is a goldmine.
Langchain RAG Course: From Basics to Production-Ready RAG Chatbot
Pradip Nichite
159,357 views
Build a production-ready Retrieval-augmented generation (RAG) chatbot that can answer questions based on your own documents using Langchain. This comprehensive tutorial guides you through creating a multi-user chatbot with FastAPI backend and Streamlit frontend, covering both theory and hands-on implementation.
Topics covered:
RAG fundamentals and applications
Langchain basics and LCEL
Document processing and vector databases
Building conversational RAG chains
Multi-user chatbot development
FastAPI integration
Streamlit interface creation
By the end of this video, you'll have built a functional AI chatbot capable of answering questions based on custom data sources.
For code samples and additional resources, visit our blog: https://blog.futuresmart.ai/series/la...
#Langchain #RAG #ragchatbot #llm
Find All code and link to colab notebok : https://blog.futuresmart.ai/series/langchain-rag-course