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Explore building conversational e-commerce search using LLMs to create relevance formulas that balance user preferences like price, reliability, and personal taste through tensor-based scoring.
Discover real-world strategies for managing billion-scale vector databases in Elasticsearch and OpenSearch, moving beyond semantic search hype to tackle scalability and performance challenges.
Discover how to build multi-agent systems that automatically extract insights from user discussions across Discord, GitHub, and other platforms using open-source tools like Milvus and LangChain.
Explore advanced AI analytics on unstructured data using Aryn, moving beyond RAG to perform complex semantic analysis at scale with visual AI models and LLMs.
Explore how Mercari re-architected their search system using AI and LLMs, covering end-to-end architecture, successful applications, and business ROI considerations for e-commerce.
Discover how Yelp enhances search results using LLM-powered annotations, focusing on review highlights and business information to improve user experience and search relevance at scale.
Discover how Knowunity leverages LLMs to enhance search functionality for Gen Z students, from AI-powered content summarization to intelligent question generation and knowledge graph construction.
Master practical techniques for training and optimizing embedding models for production-ready vector search, covering data quality, loss functions, and efficient updating strategies.
Discover how Entity Resolution enhances RAG systems for LLMs, improving accuracy when handling structured enterprise data like customer records through real-time unified data processing.
Explore how Nixiesearch leverages Lucene over S3 to create a simplified, serverless search engine with built-in AI capabilities, including RAG and text+image embeddings for modern search solutions.
Explore vector search at billion-scale through Milvus, understanding distributed systems architecture, indexing strategies, and scalability solutions for unstructured data processing.
Explore cutting-edge ML and LLM techniques to revolutionize product search, from query understanding to result re-ranking. Discover how to optimize retrieval quality using innovative approaches in a retail scenario.
Explore the development of a multimodal LLM-based chatbot for enhanced housing search, featuring contrastive vision-language models and innovative AI technologies to streamline user experiences in real estate.
Explore the balance between precision and recall in e-commerce search, examining user perception, business metrics, and modern techniques like vector search. Learn strategies to optimize search relevance and user experience.
Explore ColPali, a novel retrieval model using Vision Language Models to embed entire PDF pages, improving retrieval quality and simplifying extraction processes for complex document formats.
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