Lightning Talks on Search Relevance and AI - Haystack US 2024
Offered By: OpenSource Connections via YouTube
Course Description
Overview
Explore a series of lightning talks from the Haystack US 2024 Search Relevance Conference, covering a wide range of topics in search technology and artificial intelligence. Dive into discussions on information retrieval versus synthesis in RAG, LLM-powered unstructured analytics, and optimized scalar quantization for vector search in Lucene. Learn about best practices in Learning to Rank, strategies for searching over groups instead of multiple indices, and implementing semantic search in startup environments. Discover how to accelerate vector embeddings, explore the SearchArray concept, and get updates on open-source tools like Quepid and Lucille. Gain insights into MICES, Langflow, and the latest ML search capabilities in OpenSearch. Conclude with a demonstration on interacting with technical documentation using generative AI. Presented by OpenSource Connections, this collection of talks offers valuable knowledge for professionals and enthusiasts in the search and AI domains.
Syllabus
Haystack US 2024 - Lightning Talks
Taught by
OpenSource Connections
Related Courses
U&P AI - Natural Language Processing (NLP) with PythonUdemy What's New in Cognitive Search and Cool Frameworks with PyTorch - Episode 5
Microsoft via YouTube Stress Testing Qdrant - Semantic Search with 90,000 Vectors - Lightning Fast Search Microservice
David Shapiro ~ AI via YouTube Semantic Search for AI - Testing Out Qdrant Neural Search
David Shapiro ~ AI via YouTube Spotify's Podcast Search Explained
James Briggs via YouTube