Semantic search tutorials

The following tutorials show you how to implement semantic search:

• Semantic search using the OpenAI embedding model
  • Platform: OpenSearch, Amazon OpenSearch Service
  • Model: OpenAI
  • Deployment: Provider API
• Semantic search using Cohere Embed
  • Platform: OpenSearch, Amazon OpenSearch Service
  • Model: Cohere
  • Deployment: Provider API
• Semantic search using Cohere Embed on Amazon Bedrock
  • Platform: OpenSearch, Amazon OpenSearch Service
  • Model: Cohere
  • Deployment: Amazon Bedrock
• Semantic search using Amazon Bedrock Titan
  • Platform: OpenSearch, Amazon OpenSearch Service
  • Model: Amazon Titan
  • Deployment: Amazon Bedrock
• Semantic search using Amazon Bedrock Titan in another account
  • Platform: OpenSearch, Amazon OpenSearch Service
  • Model: Amazon Titan
  • Deployment: Amazon Bedrock (in a different account than your Amazon OpenSearch Service account)
• Semantic search using a model in Amazon SageMaker
  • Platform: OpenSearch, Amazon OpenSearch Service
  • Model: Custom
  • Deployment: Amazon SageMaker
• Semantic search using AWS CloudFormation and Amazon SageMaker
  • Platform: OpenSearch, Amazon OpenSearch Service
  • Model: Custom
  • Deployment: Amazon SageMaker + CloudFormation
• Semantic search using byte-quantized vectors
  • Platform: OpenSearch
  • Model: Cohere
  • Deployment: Provider API