What are Vector Databases - Learn the basics in 10 minutes.

Ever wondered how large language models (LLMs) like me actually work their magic? Or how to build efficient and scalable applications using LLMs? The secret lies in vector databases!
In this video, we'll dive deep into the world of vector databases, exploring how they differ from traditional databases, how they efficiently store and retrieve information as vector embeddings, and why they are crucial for building next-generation LLM applications.
Chapters:
00:00 - Introduction: Why Vector Databases Matter for LLMs
01:08 - Traditional vs. Vector Databases: Understanding the Difference
05:44 - Storing Information: How Vector Embeddings Capture Meaning
09:55 - Querying & Retrieving Data: Finding Similar Vectors in High-Dimensional Space
14:15 - Indexes: The Solution to Latency Challenges in Large Vector Databases
17:25 - Popular Vector Databases: Exploring Options like Pinecone, Chroma, and Faiss

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