October 2022
Intermediate to advanced
188 pages
4h 26m
English
book
Neural Search - From Prototype to Production with Jina
by Bo Wang, Jina AI, Cristian Mitroi, Feng Wang, Shubham Saboo, Susana Guzmán
Content preview from Neural Search - From Prototype to Production with Jina
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2
Introducing Foundations of Vector Representation
Vectors and vector representation are at the very core of neural search since the quality of vectors determines the quality of search results. In this chapter, you will learn about the concept of vectors within machine learning (ML). You will see common search algorithms using vector representation as well as their weaknesses and strengths.
We’re going to cover the following main topics in this chapter:
- Introducing vectors in ML
- Measuring the similarity between two vectors
- Local and distributed representations
By the end of this chapter, you will have a solid understanding of how every type of data can be represented in vectors and why this concept is at the very core of neural search.
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