Vector Databases Explained | ChromaDB vs Pinecone | RAG for AI Engineers

Description

📌 YouTube Description (SEO Optimized) Vector Databases are the backbone of modern AI systems 🚀 In this video, I explain what a Vector Database is, how it is different from a traditional database, and why AI applications like ChatGPT, RAG systems, and semantic search rely on vector databases. You’ll clearly understand: What is a Vector Database (beginner friendly) Difference between Normal DB vs Vector DB How embeddings work in AI Real-world use cases of Vector Databases Live demos using ChromaDB (local) and Pinecone (cloud) How Vector DBs are used in RAG (Retrieval Augmented Generation) This video is especially useful for: AI / ML Engineers Data Scientists Python Developers Students learning Generative AI Anyone building LLM-based applications By the end of this video, you’ll have a strong theoretical + practical understanding of vector databases and how they power modern AI systems. 📌 Follow Kishorelytics for practical AI, ML, and GenAI content with real projects. #VectorDatabase #VectorDatabases #ChromaDB #Pinecone #RAG #RetrievalAugmentedGeneration #GenerativeAI #AIEngineering #MachineLearning #DeepLearning #LLM #LangChain #SemanticSearch #Embeddings #AIProjects #PythonForAI #AIDeveloper #DataScience #AIExplained #Kishorelytics