Dmitry Kan on Vector Search Engines
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Chapters
0:00 Introduction
2:55 What inspired your interest?
6:24 Weaviate Modules - Search + QA and more
7:40 BERT + Elasticsearch
13:42 FAISS and recent developments
17:37 Mixed Precision
18:21 Symbolic Filters and Vector Search
24:34 Approximate Nearest Neighbor Benchmarks
27:38 ANN vs. Information Retrieval
32:58 Robustness in Vector Representations
34:20 Semantic Gap between Encoded Objects
34:50 Data Domains for Vector Encodings
35:20 Not All Vector Databases are Equal
42:24 Dmitry’s overview of Weaviate
46:20 Hacker News Viral Blog Post Experience
49:00 Vector Search and MLOps emerging spaces
49:50 NGT better than HNSW?
50:53 Self-Hosted versus Managed Hosting
55:45 GraphQL in Weaviate
1:00:55 Custom Hardware for Vector Search
1:04:26 Thank you for watching!
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