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
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
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
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
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
account_id
Account ID
Cloudflare account identifier
api_token
API Token
Cloudflare API token
model_name
Model Name
Workers AI embedding model name
Outputs
embeddings
Embeddings
Cloudflare Workers AI embeddings instance
Available Models
Amazon Bedrock Models
amazon.titan-embed-text-v1: General-purpose text embeddingsamazon.titan-embed-text-v2: Advanced text embedding modelcohere.embed-english-v3: English text embeddingscohere.embed-multilingual-v3: Multilingual embeddings
IBM watsonx Models
ibm/slate-125m-english-rtrvr: English retrieval modelibm/slate-30m-english-rtrvr: Lightweight English modelsentence-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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