Vector Databases in AI Explained! #ai

Description

what is vector database | vector database tutorial | vector databases in ai explained | rag vector llm In this video we look at vector databases, how they work, and why they are critical for modern AI, GenAI, and LLM-based applications. We explain what vectors are, how embeddings are created from text, images, and audio, and how vector similarity search enables semantic search, recommendations, and AI-powered retrieval systems. You’ll learn how vector databases store and index high-dimensional vectors, how cosine similarity and nearest neighbor search work, and where vector databases fit in RAG (Retrieval-Augmented Generation) architectures. We also cover real-world use cases such as semantic search, chatbots, recommendation engines, fraud detection, and personalization. Finally, we explore popular vector databases and tools used in production today, including Pinecone, Weaviate, Milvus, FAISS, ChromaDB, Qdrant, OpenSearch Vector Engine, and PostgreSQL with pgvector, and discuss when to use managed vs open-source options. Keywords: vector database, vectors, embeddings, vector search, semantic search, similarity search, RAG, retrieval augmented generation, LLM, GenAI, AI search, machine learning, nearest neighbor search, cosine similarity, Pinecone, Weaviate, Milvus, FAISS, ChromaDB, Qdrant, pgvector, OpenSearch vector, AI architecture, DevOps AI, MLOps, data engineering #ai #vectordatabases vector database vectors embeddings vector search semantic search similarity search nearest neighbor search cosine similarity retrieval augmented generation RAG architecture LLM GenAI AI search machine learning recommendation systems AI chatbots fraud detection personalization Pinecone Weaviate Milvus FAISS ChromaDB Qdrant pgvector OpenSearch vector engine AI architecture MLOps data engineering vector database what is vector database vector database explained vector search explained embeddings explained what are embeddings AI embeddings text embeddings image embeddings LLM embeddings semantic search AI search engine similarity search nearest neighbor search RAG RAG explained retrieval augmented generation LLM RAG AI chatbot chatbot with vector database GenAI generative AI large language models LLM explained machine learning basics AI projects AI system design recommendation system real world AI use cases Pinecone tutorial Weaviate tutorial Milvus tutorial FAISS tutorial ChromaDB tutorial Qdrant tutorial