Power neural search with AI/ML connectors in Amazon OpenSearch Service
Big Data Blog
This article explains how to power semantic search using AI/ML connectors in Amazon OpenSearch Service. It demonstrates setting up a connector to an Amazon SageMaker model and using that model for semantic search on OpenSearch Service.
Specifically, the article covers:
- Overview of the neural search feature in OpenSearch Service 2.9
- Prerequisites for setting up an AI/ML connector
- Deploying a model on Amazon SageMaker using AWS CloudFormation
- Verifying the deployed model on OpenSearch Dashboards
- Creating a neural pipeline using the model ID
- Creating a semantic search index using the neural pipeline
- Ingesting sample data and validating vector generation
- Comparing lexical and semantic search results
- Cleaning up the deployed resources
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