Gen AI Search and Summarization Testing Using Human SME Techniques
Explore a framework for testing generative AI search results and summaries using subject matter experts, including methodology, metrics, and potential applications.
Vector (Hybrid) Search Live A/B Test Results in E-commerce Sector
Explore significant A/B test results of Vector (Hybrid) Search in e-commerce, revealing revenue increases and improved user engagement. Learn about embedding creation and result blending techniques.
CLAP With Me: Step-by-Step Semantic Search on Audio Sources
Explore CLAP for semantic search on audio data. Learn to build an application generating CLAP embeddings, indexing to Opensearch, and implementing audio-based semantic queries.
Exploring Dense Vector Search at Scale
Explore dense vector search at scale, balancing cost, speed, and quality. Learn reusable methods for testing index and query performance, gaining insights for integrating vector search into existing pipelines.
Search and Retrieval - AI's Most Successful Hack
Explore hybrid search in RAG systems, combining metadata filtering and re-ranking for scalable LLM recommenders. Learn core concepts of retrieval, filtering, and ranking.
Benchmarking Embeddings for Similar Image Retrieval - Zucchini or Cucumber?
Explore image-based recommendations for grocery shopping using AI. Learn to build and evaluate benchmarks for image vectorization models, improving differentiation between similar food items.
Comparing AI-Augmented Information Retrieval Strategies
Explore AI-powered information retrieval strategies with Women of Search experts. Analyze fine-tuning ML models, RAG pipelines, and reranking methods for optimal use in search applications.
Why RAG Projects Fail and How to Make Yours Succeed
Explore common pitfalls in RAG projects and learn strategies to ensure success. Gain insights on project organization, execution, and overcoming challenges in implementing chatbots and QA systems.
Your Search Engine Needs a Memory - Haystack US 2024
Discover how User Behavior Insights system standardizes data collection for search professionals, enabling improved relevance and user experience through analysis of search patterns and behaviors.
Retro Relevance: Lessons Learned Balancing Keyword and Semantic Search
Explore strategies for enhancing search relevance by combining traditional keyword-based methods with semantic search, addressing limitations and improving user satisfaction.
Expanding RAG with Multimodal Capabilities - Haystack US 2024
Explore multimodal RAG workflows for enhanced retrieval and generation, incorporating text, tables, and images. Live demo showcases PDF processing, vector database usage, and LLM-enriched responses.
Measuring and Improving Retrieval in RAG Systems - Haystack US 2024
Learn techniques to measure and enhance retrieval quality in RAG systems, exploring alternatives to human expert judgments and methods for tuning retrieval to improve generated responses.
Evolution of Moody's Search and AI - From Legacy Systems to Cloud-Native Solutions
Explore Moody's journey from legacy SOLR to cloud-native AWS OpenSearch, enhancing search architecture with AI integration and custom relevance systems for improved cross-product usability and intelligent search experiences.
Chat With Your Data - A Practical Guide to Production RAG Apps
Learn to build production-ready RAG applications with insights from Moody's rapid development. Gain strategies for embedding, relevance measurement, cost management, and team organization for impactful AI-driven data interaction.
Personalizing Search Using Multimodal Latent Behavioral Embeddings
Explore personalized search using multimodal latent behavioral embeddings. Learn to integrate user behavior into modern search retrieval pipelines for RAG and end-user search, enhancing relevance and user experience.
States, Transitions and a Bit of Code
Explore state management, transitions, and coding techniques in UI development for creating dynamic and responsive user interfaces.
Make Meaning Not Money: Sustainable Innovation for Real-Life Problems
Discover how focusing on solving real-life problems leads to sustainable innovation and business success, with insights from .lumen's CEO.
DeepTech Product Development for Large Enterprise - From Idea to Scaling
Explore deep tech product development for enterprises, from ideation to scaling, focusing on biometric solutions, security challenges, and real-world deployment strategies.
Splitting Monolith Applications to Microservices: Gains and Challenges from Practical Experience
Explore practical cases of splitting monolith applications into microservices, focusing on e-commerce and financial domains using Spring Boot, MongoDB, and Kafka.
Cloud Cost Optimization: Money Is Not a Problem, but the Amount Is
Explore real-life cases and best practices for resolving high cloud service costs, designing cost-efficient environments, and building transparency among teams.
Future of Knowledge: The Role of AI
Explore AI's impact on knowledge management and scientific understanding with insights from Iris.ai's CTO. Gain perspective on innovative AI applications in processing scientific data.