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Keep shoppingAdvanced Vector Databases: TSS and Hybrid Search
826 students
Advanced Vector Databases: TSS and Hybrid Search
Master Temporal Similarity Search and Hybrid Search using KDB AI for powerful time-series and unstructured data
Created byMichael Ryaboy
Last updated 11/2024
English
What you'll 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.
Explore related topics
Course content
3 sections • 4 lectures • 38m total length
Requirements
- Basic Python programming knowledge and familiarity with AI/ML concepts. KDB AI account (free tier). Some experience working with vector databases is encouraged.
Description
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!
Who this course is 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.