AI Engineering for Devs: Module 1 / Lesson 1
Автор: Obney AI
Загружено: 2026-02-09
Просмотров: 59
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Module 1 / Lesson 1 Overview:
00:00:00 - Welcome & Course Framing
00:00:52 - Foundations: Why Vector Stores?
00:02:57 - What is a Vector Store?
00:04:53 - Embeddings: Turning Meaning into Math
00:06:53 - Tokenization: The Model’s “Alphabet”
00:12:30 - Visualizing Embeddings: Similarity and Clusters
00:14:50 - Vector Math: Meaningful Arithmetic
00:17:36 - Choosing Embedding Dimensions
00:22:06 - Embedding Model Types & Training
00:26:45 - Picking an Embedding Model
00:42:26 - Embeddings Across Modalities
00:44:17 - Semantic Similarity & Search in Vector Stores
00:46:22 - Beyond Semantics: Other Search Types
00:49:09 - Types of Search & Retrieval
00:54:46 - Indexing Methods in Vector Stores
00:58:51 - Vector Store Options: Comparing Products
01:00:06 - Why we chose PGVector
01:03:00 - Recap & Next Steps
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