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…
Haystack US 2024 – Audrey Lorberfeld: Women of Search present Comparing AI-Augmented IR Strategies
This multi-speaker talk will trace the life of a query through various AI-powered information retrieval strategies…
Haystack US 2024-Paul-Louis Nech:Zucchini/Cucumber? Benchmarking Embeddings, Similar Image Retrieval
Zucchini or Cucumber? Benchmarking Embeddings for Similar Image Retrieval thanks to your weekly Grocery shopping The…
Haystack US 2024 – Ali Rokni: Search Query Understanding with LLMs: From Ideation to Production
Understanding user intent from search queries is a critical challenge for providing relevant search results. Yelp…
Haystack US 2024 – Apoorva Joshi: Search and Retrieval- AI’s Most Successful Hack
Search and information retrieval systems have long embraced AI and Machine Learning to improve efficiency and…
