Vector databases are also often used to implement retrieval-augmented generation (RAG), a method to improve domain-specific responses of large language models.
00:00:00 Introduction
00:01:32 Example: A Collection of object
00:05:20 Euclidean distance and Cosine Similarity
00:07:03 Euclidean distance - 2D
00:08:48 Euclidean distance - 3D
00:09:26 Searching for Similar Objects
00:10:15 Vector Database - A Database for the AI
00:11:39 SQLite and sqlite-vec extension
00:25:17 Embedding
00:49:40 Chroma - The open source embedding database
01:08:47 Qdrant - High Performance Vector Search at Scale
