What are Vectors, Vector Embeddings, Embedding Models, Vector DB , Cosine Similarity, KNN Algorithm Published 2024-03-04 Download video MP4 360p Recommendations 36:49 Build a CHATBOT with AWS Amazon Bedrock- Llama 2, Langchain and Streamlit [HANDS-ON] 17:48 Generative AI Simplified - tokens, embeddings, vectors and similarity search 08:12 What is a Vector Database? 40:06 Configure Amazon Bedrock Knowledge Bases with Pinecone Vector Database 38:38 Embeddings: What they are and why they matter 24:52 🆕 Bedrock Agents and Knowledge bases from a developer perspective with Demo! 08:29 A Beginner's Guide to Vector Embeddings 52:59 Build a HR QnA App using Retrieval Augmentation Generation (RAG), AWS Bedrock, FAISS, Langchain 12:29 Embeddings, Similarity Search and Qdrant 29:04 RAG, semantic search, embedding, vector... Find out what the terms used with Generative AI mean! 20:34 Practical RAG - Choosing the Right Embedding Model, Chunking Strategy, and More 05:59 What are AI vector embeddings? 04:23 Vector Databases simply explained! (Embeddings & Indexes) 17:38 The moment we stopped understanding AI [AlexNet] Similar videos 10:14 Cosine Similarity, Clearly Explained!!! 02:09 Understand Cosine Similarity | 2 Minute Tutorial 1:11:47 Vector Search RAG Tutorial – Combine Your Data with LLMs with Advanced Search 16:14 Understanding BERT Embeddings and Tokenization | NLP | HuggingFace| Data Science | Machine Learning 49:24 Retrieval Augmented Generation (RAG) Explained: Embedding, Sentence BERT, Vector Database (HNSW) 01:45 HNSW Vector Index | Vector Database Fundamentals 17:55 Calculating Text Similarity in Python with NLP 38:30 Build Semantic-Search with Elastic search and BERT vector embeddings. ( From scratch ) 31:37 Faiss - Introduction to Similarity Search 06:35 LLM Module 2 - Embeddings, Vector Databases, and Search | 2.3 How does Vector Search work 04:16 k-NN vs Approximate Nearest Neighbours: Vector Similarity Search Battle 03:17 A.I. Experiments: Visualizing High-Dimensional Space 34:35 HNSW for Vector Search Explained and Implemented with Faiss (Python) 39:09 Vector Search in Elasticsearch 8 14:54 Vector Similarity Search using Images with Zilliz 20:18 Amazon Bedrock Agents & Knowledge Bases - Retail Banking Agent Use Case More results