Learn how to build a Q&A application using Retrieval-Augmented Generation (RAG) with Gemini Pro and LangChain in this 27-minute tutorial. Explore the fundamentals of RAG, set up the Gemini Pro environment, and integrate LangChain to create an intelligent chatbot. Follow step-by-step instructions to develop and deploy a powerful Q&A app that leverages advanced retrieval techniques for enhanced performance. Access the project's GitHub repository for code samples and additional resources. Contact the instructor via email for further assistance or inquiries.
Build a Q&A App with RAG Using Gemini Pro and LangChain
Overview
Syllabus
L-8 Build a Q&A App with RAG using Gemini Pro and Langchain
Taught by
Code With Aarohi
Related Courses
-
LangChain GEN AI Tutorial – 6 End-to-End Projects using OpenAI, Google Gemini Pro, LLAMA2
-
Retrieval Augmented Generation (RAG) with LangChain
-
Build LangChain Applications using Vertex AI
-
Fundamentals of AI Agents Using RAG and LangChain
-
LangChain Chat with Your Data
-
Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More
