

Semantic Search: A Deep Dive Into Vector Databases (with Zain Hasan)
10 snips Oct 18, 2023
Zain Hasan, a semantic search and augmented LLMs expert, joins the podcast to discuss the challenges of teaching large language models. They explore the concept of vector databases and their role in enhancing chat bots. The episode delves into optimizing search in a fictional service, the size and storage of indexes in vector databases, and the concept of multi-modality in vector search. The discussion also includes implementing semantic search at home using Weaviate and a conversation on Weaviate, an open-source database with managed instances.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7
Introduction
00:00 • 2min
Enhancing Chat Bots with Vector Databases
02:22 • 22min
Optimizing Search in a Fictional Service
24:47 • 13min
Size and Storage of Index in Vector Databases
37:54 • 3min
Multi Modality in Vector Search
40:57 • 15min
Implementing Semantic Search at Home with Weeviate
55:45 • 2min
Discussion on Weeviate, an Open-Source Database with Managed Instances
57:56 • 4min