Practical AI: Machine Learning, Data Science, LLM

Vector databases for machine learning

Jun 22, 2021

42:37

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Highlights

AI Chapters

Episode notes

Vectors unify all kinds of data

02:36

Like a monkey climbing a tree to get to the moon

01:22

How to Get the Most Out of Your Data?

03:37

How Do You Store Your Data?

03:48

Introduction

3min

How Do We Get More From Less With Computer Vision?

2min

Did You Have a PhD in Machine Learning at YAO?

2min

Machine Learning and Machine Learning Tools

3min

Computer Vision: Six Layers of Number Processing

3min

Is It a Memory Problem?

2min

Snow Plough Analytics - The Behavior Data Management Platform for Data Teams

2min

What Is Vector Similarity Search?

2min

How Do You Recognize Your Children?

3min

10.

How to Retrieve Data Across a Vector Data Base?

2min

11.

Database or Search Engine?

2min

12.

How Do You Store Your Data?

4min

13.

How to Get the Most Out of Your Data?

4min

14.

Deep Learning

3min

15.

Are You Using Tensorflow or Pitorch?

3min

16.

What's the Next Big Thing?

4min

Pinecone is the first vector database for machine learning. Edo Liberty explains to Chris how vector similarity search works, and its advantages over traditional database approaches for machine learning. It enables one to search through billions of vector embeddings for similar matches, in milliseconds, and Pinecone is a managed service that puts this capability at the fingertips of machine learning practitioners.

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