Langchain: Conversational QA Tool with Gemini, Langchain, and Faiss
Offered By: The Machine Learning Engineer via YouTube
Course Description
Overview
Learn how to build a conversational QA chatbot capable of answering questions about data loaded into a vector store. This 49-minute video tutorial guides you through creating a Knowledge Database and implementing a chatbot using key technologies including Langchain, Gemini Pro 1.5, Faiss, and Vertex AI embeddings. Follow along to develop a system that can intelligently respond to queries based on the topics stored in your Knowledge Base. Access the accompanying Jupyter notebook on GitHub to practice implementing the concepts covered in the video.
Syllabus
Langchain: Conversational QA tool Gemini Langchain y Faiss #machinelearning #datascience
Taught by
The Machine Learning Engineer
Related Courses
Prompt Templates for GPT-3.5 and Other LLMs - LangChainJames Briggs via YouTube Getting Started with GPT-3 vs. Open Source LLMs - LangChain
James Briggs via YouTube Chatbot Memory for Chat-GPT, Davinci + Other LLMs - LangChain
James Briggs via YouTube Chat in LangChain
James Briggs via YouTube LangChain Data Loaders, Tokenizers, Chunking, and Datasets - Data Prep
James Briggs via YouTube