AI in Search in 2023
Explore AI's impact on search in 2023, covering challenges, models, and future trends in information retrieval and conversational systems.
All Vector Search is Hybrid Search
Explore the benefits and challenges of hybrid search systems, combining vector search with traditional methods for improved accuracy and real-time updates in search applications.
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.
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.
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.
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.
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.
Building a Scalable Search Engine for Consumer Needs
Explore the creation of a scalable search engine using online machine learning systems for improved consumer experience and intent matching.
10x the Retrieval Quality of Vector Search - Enhancing Semantic Search and RAG Systems
Enhance vector search retrieval quality by encoding diverse information into single vectors, simplifying deployment and reducing post-processing needs.
Building RAG Systems with Mixed Numeric and Text Data - Workshop
Learn to build high-performing RAG systems by combining numeric and text data embeddings. Explore efficient retrieval techniques for LLMs and improve chatbot performance using an HR policy example.
Obtaining Answers from Social Media Data Using Neural Databases
Explore neural databases leveraging NLP transformers to answer queries over text, freeing us from reliance on traditional database schemas for social media content analysis.
Element AI's Knowledge Scout Platform for COVID-19 Research
Découvrez la plateforme Knowledge Scout d'Element AI, conçue pour accélérer la recherche sur le COVID-19 en analysant efficacement des milliers d'articles scientifiques.
BitFunnel: How Bing Uses Bloom Filters for Search
Explore BitFunnel algorithm powering Bing search, using Bloom filters to efficiently process queries and search billions of documents, challenging conventional wisdom in text indexing.
Fundamentals of Retrieval Augmented Generation
Explore Retrieval Augmented Generation (RAG), combining Information Retrieval and Natural Language Generation. Gain insights into key frameworks, methodologies, and applications in document intelligence tasks.
From Text to Context: How We Introduced a Modern Hybrid Search
Discover how to implement a modern hybrid search system combining BM25 and semantic vector models. Learn from real-world challenges and solutions in improving e-commerce search functionality.
Integrate Hibernate with Your Elasticsearch Database
Learn to seamlessly integrate Hibernate with Elasticsearch, enhancing database performance and search capabilities in your Java applications.
Designing and Building AI Applications with Vector Search Using Azure OpenAI and Azure Cosmos DB
Design and build AI applications using vector search with Azure OpenAI and Azure Cosmos DB, enhancing your skills in creating advanced AI solutions.
Flexible Indexing with Postgres
Explore Postgres indexing structures and data-type-specific lookup methods for efficient database performance. Learn when to use brin, gin, GiST, and other specialized indexes.