Cloud Provider Embeddings

Cloud provider embedding components offer enterprise-grade embedding services from major cloud platforms with advanced features and integrations.

Amazon Bedrock Embeddings

This component is used to load embedding models from Amazon Bedrock.

Usage

Amazon Bedrock embedding features:

  • Foundation model access

  • Multi-modal embeddings

  • Enterprise security

  • Serverless scaling

  • Cost optimization

Inputs

Name
Type
Description

credentials_profile_name

String

Name of the AWS credentials profile in ~/.aws/credentials or ~/.aws/config, which has access keys or role information

model_id

String

ID of the model to call, e.g., amazon.titan-embed-text-v1. This is equivalent to the modelId property in the list-foundation-models API

endpoint_url

String

URL to set a specific service endpoint other than the default AWS endpoint

region_name

String

AWS region to use, e.g., us-west-2. Falls back to AWS_DEFAULT_REGION environment variable or region specified in ~/.aws/config if not provided

Outputs

Name
Type
Description

embeddings

Embeddings

An instance for generating embeddings using Amazon Bedrock

IBM watsonx Embeddings

This component generates embeddings using IBM Watson AI models.

Usage

IBM watsonx embedding capabilities:

  • Enterprise AI models

  • Multilingual support

  • Industry-specific models

  • Compliance-ready deployment

  • Advanced analytics integration

Inputs

Name
Display Name
Info

model_id

Model ID

IBM watsonx embedding model identifier

project_id

Project ID

Watson Studio project ID

api_key

API Key

IBM Cloud API key

url

Service URL

Watson Machine Learning service URL

Outputs

Name
Type
Description

embeddings

Embeddings

IBM watsonx embeddings instance

Cloudflare Workers AI Embeddings

This component generates embeddings using Cloudflare Workers AI models.

Usage

Cloudflare Workers AI features:

  • Edge computing embeddings

  • Global deployment

  • Cost-effective processing

  • Low-latency inference

  • Serverless architecture

Inputs

Name
Display Name
Info

account_id

Account ID

Cloudflare account identifier

api_token

API Token

Cloudflare API token

model_name

Model Name

Workers AI embedding model name

Outputs

Name
Type
Description

embeddings

Embeddings

Cloudflare Workers AI embeddings instance

Available Models

Amazon Bedrock Models

  • amazon.titan-embed-text-v1: General-purpose text embeddings

  • amazon.titan-embed-text-v2: Advanced text embedding model

  • cohere.embed-english-v3: English text embeddings

  • cohere.embed-multilingual-v3: Multilingual embeddings

IBM watsonx Models

  • ibm/slate-125m-english-rtrvr: English retrieval model

  • ibm/slate-30m-english-rtrvr: Lightweight English model

  • sentence-transformers/all-minilm-l12-v2: General-purpose embeddings

Cloudflare Workers AI Models

  • @cf/baai/bge-small-en-v1.5: Compact English embeddings

  • @cf/baai/bge-base-en-v1.5: Balanced performance embeddings

  • @cf/baai/bge-large-en-v1.5: High-quality English embeddings

Usage Notes

  • Enterprise Security: Cloud provider-grade security and compliance

  • Global Availability: Multi-region deployment options

  • Managed Infrastructure: Fully managed scaling and maintenance

  • Cost Optimization: Pay-per-use pricing models

  • Integration Ready: Native cloud ecosystem integration

  • Performance Monitoring: Built-in metrics and monitoring capabilities

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