Ways to Solve Neural Search With Jina

Explore the world of neural search in this comprehensive 1-hour 19-minute talk by Pratik, an open-source NLP engineer. Dive into the fundamentals of neural search, its anatomy, and learn how to build a neural search engine from scratch. Discover Jina, a powerful framework for neural search, and understand its core tenets and adapters. Examine various use cases for neural search across text, audio, and video domains, and learn how to scale neural search for high-performance applications. Gain insights into multimodal search engines, semantic search, and the general patterns of neural search. Follow along as the speaker demonstrates practical examples, visualizations, and decision trees to help you grasp the concepts more effectively.

Intro
About me
Why neural search
Multimodal search engine
Semantic search
Text search
Anatomy of neural search
General pattern of neural search
What do we require
Make the search engine from scratch
High data intensive applications
High performance
Jina
YAML
Flow
Visualization
Images
Index Flow
Examples
Summary
Decision tree