Link Search Menu Expand Document Documentation Menu

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 embedding
  • Deployment: Provider API

Semantic search using Cohere Embed

  • Platform: OpenSearch, Amazon OpenSearch Service
  • Model: Cohere Embed
  • Deployment: Provider API

Semantic search using Cohere Embed on Amazon Bedrock

  • Platform: OpenSearch, Amazon OpenSearch Service
  • Model: Cohere Embed
  • 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 an asymmetric model

  • Platform: OpenSearch
  • Model: Hugging Face Multilingual-E5-small
  • Deployment: Local cluster

Semantic search using text chunking

  • Platform: OpenSearch, Amazon OpenSearch Service
  • Model: Amazon Titan Text Embeddings
  • Deployment: Amazon Bedrock
350 characters left

Have a question? .

Want to contribute? or .