Search is no longer limited to the traditional approach based on term frequency (TF/IDF or BM25) but is moving toward the current trend of machine learning where new models have opened a new dimension for search.
This conference provides an overview of:
- "Classic" search and its limitations
- What is a machine learning model and how you can use it
- How to use vector search or hybrid search in Elasticsearch
- How ChatGPT from OpenAI or similar "large language models" (LLMs) naturally interact with Elastic
- The main demo shows how to generate embeddings from music and then how to find the music closest to a tune we're humming 🎶🎸🎻.
