Haystack US 2024 – Trey Grainger: Personalizing search using multimodal latent behavioral embeddings
earning user context from behavioral signals is critical for optimizing search relevance, but most search engine…
Haystack US 2024 – Jeff Capobianco: Chat With Your Data – A Practical Guide to Production RAG Apps
At Moody’s, we went from a laptop prototype to a premium-subscription RAG product in under 6…
Haystack US 2024 – Jeremy Hudson & René Kriegler: Evolution of Moody’s Search & AI
Day 2 Keynote – Evolution of Moody’s Search: Embracing Cloud-Native Solutions to Enable AI-Powered Product This…
Haystack US 2024 – Scott Stults: Measuring and Improving the R in RAG
The quality of text generated by a RAG system is limited by the quality of the…
Haystack US 2024 – Joelle Robinson: Revisiting the Basics: How Round Robin Improved Search Relevancy
In the rapidly evolving landscape of search technologies, the allure of novel, complex algorithms often overshadows…
Haystack US 2024 – Praveen Mohan Prasad & Hajer Bouafif: Expanding RAG with multimodal capabilities
RAG workflows predominantly rely on retrieved text sources, as most Language Models (LLMs) are proficient in…
Haystack US 2024 – Lightning Talks
Lightning Talks from the Haystack US 2024 Search Relevance Conference: 1. Henry Weller, Info retrieval vs…
Haystack US 2024- Kathleen DeRusso:Retro Relevance:Lessons Learned Balancing Keyword&Semantic Search
Semantic search has revolutionized how we approach information retrieval, offering a nuanced understanding of human language…
Haystack US 2024 – Eric Pugh & Stavros Macrakis: Your Search Engine Needs a Memory!
Every search professional needs data about users’ behavior. Data is fundamental for analyzing user behavior and…
Haystack US 2024 – Colin Harman: Why RAG Projects Fail, and How to Make Yours Succeed
Chatbots and Question Answering systems built with RAG (Retrieval Augmented Generation) are the de facto standard…
