Using Apache OpenNLP with OpenSearch K-NN Vector Search

Explore the integration of Apache OpenNLP with OpenSearch K-NN Vector Search in this 20-minute conference talk. Gain insights into natural language processing capabilities, vector search techniques, and their applications in powerful search functionalities. Learn how to generate vectors using Apache OpenNLP for indexing and querying in OpenSearch, and understand the differences between vector search and traditional search methods. Discover the synergy between natural language processing, ONNX Runtime, and vector search through practical demonstrations and sample source code. Walk away with the knowledge to implement these open-source tools in your own projects, covering topics such as Sentence Transformers, ONNX model inputs and outputs, OpenSearch setup, vector indexing, and k-NN searching.

Introduction
Sentence Transformers and Java
The ONNX Model - Inputs and Outputs
Generating Vectors using Apache OpenNLP
Getting Started
Setting up OpenSearch
Indexing our Vectors
Searching using k-NN
A Recap