Using Apache OpenNLP with OpenSearch K-NN Vector Search – Jeff Zemerick, Mountain Fog
Apache OpenNLP is a machine learning library for Java that provides natural language processing capabilities, and OpenSearch is a distributed open-source search and analytics suite. In this talk, Jeff will provide an overview of Apache OpenNLP and its capabilities and show how it can be used to power OpenSearch’s k-NN (nearest neighbor) vector search. Jeff will introduce vector search and show how it differs from “traditional” search, followed by a demonstration of how Apache OpenNLP can generate vectors suitable for indexing into OpenSearch and for querying. Attendees will come away with knowledge of how natural language processing, ONNX Runtime, and vector search can work together to provide a powerful search capability. All software used is open-source and sample source code will be provided to get started with your own projects!
