What are Vectors, Vector Embeddings, Embedding Models, Vector DB , Cosine Similarity, KNN Algorithm

In this video, will explain below concepts in a simplified fashion - Vectors - Vector Embeddings - Embedding Models - Chunking - Vector DB - Cosine Similarity - KNN Algorithm This video is part of my Best Selling Udemy Course on AWS Bedrock and Generative AI and can be accessed from below link : https://www.udemy.com/course/amazon-bedrock-aws-generative-ai-beginner-to-advanced/?referralCode=A02153572B8864F928E7 In this video we will learn how to build a CHATBOT with AWS Amazon Bedrock- Llama 2, Langchain and Streamlit This is a hands-on tutorial, where following things will be demonstrated. - End to End Demo - Architecture - Step by Step Coding Check out other videos in Amazon Bedrock Playlist : Use Case 1 : Text Summarization with Amazon Bedrock & Generative AI - AWS Bedrock - Cohere Foundation Model + AWS Lambda + API Gateway https://www.youtube.com/watch?v=HI80O8fizPg&t=317s Use Case 2 : Build a CHATBOT with AWS Amazon Bedrock- Llama 2, Langchain and Streamlit https://www.youtube.com/watch?v=pWKaraDvVPg Use Case 3 : Build a HR Q and A App with Retrieval Augmentation Generation (RAG), AWS Bedrock, FAISS, Langchain, Streamlit https://www.youtube.com/watch?v=aNj-1wehoEo - Connect with me on Linkedin to discuss anything related to AWS Generative AI - www.linkedin.com/in/ rahul-trisal