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:
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Temporal Similarity Search fundamentals and applications
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Implementing TSS for time-series data analysis
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Hybrid Search techniques combining dense and sparse vector search
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Optimizing search performance for complex data scenarios
Through practical examples and real-world use cases, you’ll learn to:
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Apply TSS to uncover patterns in time-dependent datasets
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Implement both transformed and non-transformed TSS
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Leverage Hybrid Search to improve search accuracy and relevance for unstructured data retrieval
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Optimize your search pipelines for multi-modal data retrieval
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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
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Michael Ryaboy
Developer Advocate at KDB.AI
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Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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