From BM25 to Mixture-of-Encoders - Evaluations for Next-Gen Search and Retrieval Systems
OpenSource Connections via YouTube
Launch Your Cybersecurity Career in 6 Months
Pass the PMP® Exam on Your First Try — Expert-Led Training
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Explore the evolution of search and retrieval systems in this 48-minute conference talk that examines the limitations of traditional search methods when handling modern user queries requiring both structured and unstructured data. Compare the performance of keyword, vector, hybrid, and late-interaction models against Superlinked's innovative mixture-of-encoders approach through comprehensive retrieval evaluation methodologies. Learn how different search approaches handle real-world scenarios such as queries for "5 guests under $200 with 4.8+ rating" using benchmark datasets and production use cases. Discover Superlinked's mixture-of-encoders system that combines dedicated encoders for various data types including text, numbers, and categories with LLM-driven query understanding to enable more accurate and scalable retrieval. Gain insights into evaluation metrics, methodology best practices, and common pitfalls in retrieval system assessment. Understand how to productionize advanced search systems and explore practical applications across industries from travel to e-commerce, while looking toward the future of multi-attribute and metadata-aware embeddings search.
Syllabus
Haystack EU 2025: Filip Makraduli – From BM25 to Mixture-of-Encoders
Taught by
OpenSource Connections