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Vector and Hybrid Search with Elasticsearch

This talk is by Carly Richmond, Developer Advocate at Elastic. Search is not just traditional TF/IDF any more but the current trend of machine learning and models has opened another dimension for search. ChatGPT continues to dominate news headlines and marks a turning point in how we build search applications and find data. Yet concerns also exist in adapting our search solutions to perform semantic search against our own private data. This talk serves as an introduction to the difference between vector and keyword search, and how they can be combined together. We’ll cover: - "Classic" search and its limitations - What is a model and how can you use it - How to use vector search or hybrid search in Elasticsearch - Where OpenAI's ChatGPT or similar LLMs come into play to with Elastic This session was part of the 2023 Oktoberfest Data Science Festival at CodeNode in London. The Data Science Festival is the place for data driven people to come together, share cutting edge ideas and solve real-world problems. We run monthly events, meetups and the biggest free to attend data festivals in the UK. Join the community at https://datasciencefestival.com/ #vectorsearch #machinelearning