Mike Pellegrini
Principal Software Engineer I
One field, every modality: how Elasticsearch's semantic field indexes and searches images, audio, video and PDFs automatically
The semantic field turns images, audio, video, PDFs and text into multimodal embeddings at ingest time. Describe a scene and find the matching image or use a video frame to surface related clips, all from one Elasticsearch field.
Hybrid search without the headache: simplifying hybrid search with retrievers
Explore how to simplify hybrid search in Elasticsearch with a multi-field query format for linear and RRF retrievers, and create queries with no previous knowledge about your Elasticsearch index.
Beyond similar names: How Elasticsearch semantic text exceeds OpenSearch semantic field in simplicity, efficiency, and integration
Comparing Elasticsearch semantic text and OpenSearch semantic field in terms of simplicity, configurability, and efficiency.
Semantic text in Elasticsearch: Simpler, better, leaner, stronger
Our latest semantic_text iteration brings a host of improvements. In addition to streamlining representation in _source, benefits include reduced verbosity, more efficient disk utilization, and better integration with other Elasticsearch features. You can now use highlighting to retrieve the chunks most relevant to your query. And perhaps best of all, it is now a generally available (GA) feature!
