🔍 What is a Vector Database? | Pinecone Tutorial Part 1 | Embeddings & S...

 

🔍 What is a Vector Database? | Pinecone Tutorial Part 1 | Embeddings & Semantic Search Explained

Welcome to Part 1 of our in-depth series on Vector Databases using Pinecone! In this episode, we break down the theory behind vector databases, embeddings, and semantic search — the powerful combo behind AI-powered search engines like ChatGPT, document assistants, and recommendation systems.

📌 What you'll learn in this video:

   1. What is a Vector Database?

   2. How and why they evolved

   3. What are embeddings?

   4. What is semantic search and how it's better than keyword search

   5. Real-world use cases (AI document search, chatbots, recommendations)

   6. Key terminology for upcoming hands-on coding tutorials

🔥 Whether you're a data scientist, AI enthusiast, or backend dev — this series will help you master semantic search using Pinecone, one of the most powerful vector DBs available today.

📚 Upcoming Parts in the Series:

    1. Theory & Basics (this video)

2. API Key, Index Creation (with code)

3. Embeddings - what & how to create them

    4. Storing Embeddings in Pinecone

    5. Retrieval & Semantic Search

    6. Full Agentic RAG system using Vector DB + LangChain/OpenAI

https://www.youtube.com/watch?v=EpmIIDC2Xgg