Takeaways from the SCALE 2024 Workshop on Video-based Event Retrieval
Explore multilingual event-centric video retrieval techniques, focusing on non-professional content. Learn about dataset creation, modality-specific improvements, and key findings in text extraction and fusion.
Automatic Information and Language Processing: Rethinking Evaluation
Explore groundbreaking insights on evaluating automatic information and language processing systems, challenging conventional approaches and proposing innovative methodologies.
The HAIRCUT System for Cross-Language Information Retrieval - 2013
Explore cross-language information retrieval with the HAIRCUT system, focusing on innovative techniques for multilingual search and retrieval.
Collection Fusion - 2009
Explore advanced techniques for merging and analyzing diverse data collections, enhancing information retrieval and data mining capabilities.
OpenSearch: Innovation and Community
Explore OpenSearch's innovation and community impact with insights from Amazon's Director of Product.
Full Text Search with Elasticsearch
Odkryj potencjał wyszukiwania pełnotekstowego z Elasticsearch. Poznaj podstawy techniczne, naucz się konfiguracji i poznaj triki, które ulepszą doświadczenie użytkowników Twojej strony.
NevIR: Negation in Neural Information Retrieval
Explore negation's impact on neural information retrieval models, analyzing performance across architectures and proposing strategies to improve handling of negated queries.
Knowledge-infused Learning - Dissertation Defense
Explore knowledge-infused learning techniques and their applications in AI through Manas Gaur's dissertation defense presentation.
Stuff I've Seen: A System for Personal Information Retrieval - 2013
Explore a unified system for personal information retrieval, leveraging contextual cues to easily find and re-use previously seen content across various digital formats.
Hybrid Search with Apache Solr
Explore hybrid search in Apache Solr, combining lexical and neural approaches. Learn techniques, pros/cons, and future developments for enhanced search capabilities.
Knowledge Graph Recommendation Systems for COVID-19
Explore knowledge graph recommendation systems for COVID-19, leveraging Python skills to enhance understanding of pandemic-related data and insights.
Recent Developments in Neural Search
Explore cutting-edge neural methods for semantic search, improving text search quality with pre-trained transformer networks and advanced deployment techniques.
Transforming Search with AI - Perplexity's Approach to Answer Engines
Explore AI-powered search innovation with Perplexity's CTO, discussing technical challenges, speed optimization, and the future of AI in delivering precise, fast answers to user queries.
Building a Postgres Platform and Fostering Diversity in Tech - Monica Sarbu, CEO of Xata
Insights on building a Postgres platform, fostering diversity in tech, and navigating challenges as a woman founder. Explores team motivation, open-source impact, and balancing company priorities.
Insights into Search Interfaces for Mathematicians
Explore innovative search interfaces tailored for mathematicians, enhancing research efficiency and knowledge discovery in mathematical domains.
A Journey of Audit Logs from Kafka to Elasticsearch - Building a Centralized Logging Platform
Discover how to build a scalable audit logging platform using Kafka and OpenSearch, focusing on tracking data modifications across multiple users and data models in business-critical systems.
How to Import and Query Large PDF Collections in Language Models
Discover practical techniques for integrating and querying thousands of PDF documents with large language models to enable efficient corporate data analysis and Q&A capabilities.
Superpower Your Semantic Search Using Vector Database - From Model Architecture to Deployment
Discover how to enhance matching systems using vector databases, focusing on implementation, deployment, and optimization for improved search performance and scalability in production environments.
Building a Semantic Search App for Music Using Qdrant Cloud
Learn to develop a semantic search application using Qdrant Cloud's Python SDK to efficiently search through thousands of songs across different music genres.
Natural Language Processing with Qdrant for Vector Similarity Search
Master vector similarity search using Qdrant to create embeddings from text data, perform contextual searches, and build recommendation systems for enhanced natural language processing applications.
Getting Started with Qdrant - Introduction to Vector Database and Similarity Search
Master vector similarity search using Qdrant to build semantic search and recommendation systems through hands-on practice with sample datasets and practical implementations.