Overview
This course aims to teach public sector organizations how to leverage vector search for enhanced search experiences without the need for specific keywords. Participants will learn how to utilize vector similarity for intelligent discovery, recommendation engines, and question-answering applications. The course covers the use of approximate nearest neighbor search, natural language processing (NLP), and importing pretrained PyTorch models. The teaching method includes practical examples and demonstrations. This course is intended for professionals working in the public sector interested in improving their information retrieval and ranking capabilities using Elastic's tools.
Syllabus
ElasticON Public Sector: The Search for Relevance with Vector Search
Taught by
Elastic