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1
Intro
2
About me
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Why neural search
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Multimodal search engine
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Semantic search
6
Text search
7
Anatomy of neural search
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General pattern of neural search
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What do we require
10
Make the search engine from scratch
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High data intensive applications
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High performance
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Jina
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YAML
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Flow
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Visualization
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Images
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Index Flow
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Examples
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Summary
21
Decision tree
Description:
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.

Ways to Solve Neural Search With Jina

Elvis Saravia
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