Advanced Vector Databases: TSS and Hybrid Search

Advanced Vector Databases: TSS and Hybrid Search, available at Free, with 5 lectures, and has 359 subscribers.

You will learn about Data scientists with experience in vector databases looking to expand their skillset. Software engineers working on search systems or time-series data analysis. AI researchers interested in advanced retrieval techniques for large-scale datasets. Financial analysts or quants working with time-series data in trading or risk management. This course is ideal for individuals who are Data scientists and developers familiar with vector databases who want to master Hybrid Search and Temporal Similarity Search. Ideal for professionals working with time-series data or complex multi-modal datasets seeking to implement advanced search techniques using KDB AI. It is particularly useful for Data scientists and developers familiar with vector databases who want to master Hybrid Search and Temporal Similarity Search. Ideal for professionals working with time-series data or complex multi-modal datasets seeking to implement advanced search techniques using KDB AI.

Enroll now: Advanced Vector Databases: TSS and Hybrid Search

Summary

Title: Advanced Vector Databases: TSS and Hybrid Search

Price: Free

Number of Lectures: 5

Number of Published Lectures: 5

Number of Curriculum Items: 5

Number of Published Curriculum Objects: 5

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Data scientists with experience in vector databases looking to expand their skillset.
Software engineers working on search systems or time-series data analysis.
AI researchers interested in advanced retrieval techniques for large-scale datasets.
Financial analysts or quants working with time-series data in trading or risk management.

Who Should Attend

Data scientists and developers familiar with vector databases who want to master Hybrid Search and Temporal Similarity Search. Ideal for professionals working with time-series data or complex multi-modal datasets seeking to implement advanced search techniques using KDB AI.

Target Audiences

Data scientists and developers familiar with vector databases who want to master Hybrid Search and Temporal Similarity Search. Ideal for professionals working with time-series data or complex multi-modal datasets seeking to implement advanced search techniques using KDB AI.

Dive deep into advanced vector search techniques with this specialized course on Temporal Similarity Search (TSS) and Hybrid Search using KDB AI. This course is designed for those who want to take their vector database skills to the next level.

In this course, you’ll gain hands-on experience with:

Temporal Similarity Search fundamentals and applications
Implementing TSS for time-series data analysis
Hybrid Search techniques combining dense and sparse vector search
Optimizing search performance for complex data scenarios

Through practical examples and real-world use cases, you’ll learn to:

Apply TSS to uncover patterns in time-dependent datasets
Implement both transformed and non-transformed TSS
Leverage Hybrid Search to improve search accuracy and relevance for unstructured data retrieval
Optimize your search pipelines for multi-modal data retrieval
Real-time anomaly detection with non-transformed TSS

By the end of this course, you’ll have the advanced skills to implement cutting-edge search solutions for time-series data and complex multi-modal datasets, opening up new possibilities in finance, IoT, and other time-sensitive domains.

This course is ideal for developers and data scientists who already have a basic understanding of vector databases and want to expand their expertise. Join me to master these advanced techniques and stay at the forefront of vector search technology!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome to Advanced KDB.AI: Mastering Hybrid and TSS

Chapter 2: Hybrid Search

Lecture 1: Introduction to Hybrid Search

Lecture 2: Implementing Hybrid Search With KDB.AI

Chapter 3: Temporal Similarity Search (TSS)

Lecture 1: Introduction to TSS

Lecture 2: Implementing Temporal Similarity Search With KDB.AI

Instructors

Michael Ryaboy
Developer Advocate at KDB.AI

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Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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