Supported models and Regions for Amazon Bedrock knowledge bases
Amazon Bedrock Knowledge Bases supports querying with the following foundation models:
| Provider | Model | Model ID | Single-region model support | Cross-region inference profile support |
|---|---|---|---|---|
| AI21 Labs | Jamba 1.5 Large | ai21.jamba-1-5-large-v1:0 |
us-east-1 |
|
| AI21 Labs | Jamba 1.5 Mini | ai21.jamba-1-5-mini-v1:0 |
us-east-1 |
|
| Amazon | Nova Lite | amazon.nova-lite-v1:0 |
ap-northeast-1 ap-southeast-2 eu-north-1 eu-west-2 us-east-1 us-gov-west-1 |
ap-northeast-1 ap-northeast-2 ap-south-1 ap-southeast-1 ap-southeast-2 ca-central-1 eu-central-1 eu-north-1 eu-south-1 eu-south-2 eu-west-1 eu-west-3 us-east-1 us-east-2 us-west-2 |
| Amazon | Nova Micro | amazon.nova-micro-v1:0 |
ap-southeast-2 eu-west-2 us-east-1 us-gov-west-1 |
ap-northeast-1 ap-northeast-2 ap-south-1 ap-southeast-1 ap-southeast-2 eu-central-1 eu-north-1 eu-south-1 eu-south-2 eu-west-1 eu-west-3 us-east-1 us-east-2 us-west-2 |
| Amazon | Nova Pro | amazon.nova-pro-v1:0 |
ap-southeast-2 eu-west-2 us-east-1 us-gov-west-1 |
ap-northeast-1 ap-northeast-2 ap-south-1 ap-southeast-1 ap-southeast-2 eu-central-1 eu-north-1 eu-south-1 eu-south-2 eu-west-1 eu-west-3 us-east-1 us-east-2 us-west-2 |
| Anthropic | Claude 3 Haiku | anthropic.claude-3-haiku-20240307-v1:0 |
ap-northeast-1 ap-northeast-2 ap-south-1 ap-southeast-1 ap-southeast-2 ca-central-1 eu-central-1 eu-central-2 eu-west-1 eu-west-2 eu-west-3 sa-east-1 us-east-1 us-gov-west-1 us-west-2 |
eu-central-1 us-east-2 us-gov-east-1 |
| Anthropic | Claude 3 Sonnet | anthropic.claude-3-sonnet-20240229-v1:0 |
ap-south-1 ap-southeast-2 ca-central-1 eu-central-1 eu-west-1 eu-west-2 eu-west-3 sa-east-1 us-east-1 us-west-2 |
ap-northeast-1 ap-northeast-2 ap-southeast-1 eu-central-1 |
| Anthropic | Claude 3.5 Haiku | anthropic.claude-3-5-haiku-20241022-v1:0 |
us-west-2 |
us-east-1 us-east-2 |
| Anthropic | Claude 3.5 Sonnet | anthropic.claude-3-5-sonnet-20240620-v1:0 |
ap-northeast-1 ap-northeast-2 ap-southeast-1 eu-central-1 eu-central-2 us-east-1 us-gov-west-1 us-west-2 |
ap-south-1 ap-southeast-2 eu-central-1 eu-west-1 eu-west-3 us-east-1 us-east-2 us-gov-east-1 us-west-2 |
| Anthropic | Claude 3.5 Sonnet v2 | anthropic.claude-3-5-sonnet-20241022-v2:0 |
ap-southeast-2 us-west-2 |
ap-northeast-1 ap-northeast-2 ap-northeast-3 ap-south-1 ap-south-2 ap-southeast-1 ap-southeast-2 us-east-1 us-east-2 |
| Anthropic | Claude 3.7 Sonnet | anthropic.claude-3-7-sonnet-20250219-v1:0 |
eu-west-2 us-gov-west-1 |
ap-northeast-1 ap-northeast-2 ap-northeast-3 ap-south-1 ap-south-2 ap-southeast-1 ap-southeast-2 eu-central-1 eu-north-1 eu-west-1 eu-west-3 us-east-1 us-east-2 us-gov-east-1 us-west-2 |
| Anthropic | Claude Opus 4 | anthropic.claude-opus-4-20250514-v1:0 |
us-east-1 us-east-2 us-west-2 |
|
| Anthropic | Claude Sonnet 4 | anthropic.claude-sonnet-4-20250514-v1:0 |
ap-northeast-1 ap-northeast-2 ap-northeast-3 ap-south-1 ap-south-2 ap-southeast-1 ap-southeast-2 eu-central-1 eu-north-1 eu-south-1 eu-south-2 eu-west-1 eu-west-3 us-east-1 us-east-2 us-west-2 |
|
| Anthropic | Claude Sonnet 4.5 | anthropic.claude-sonnet-4-5-20250929-v1:0 | N/A |
ap-northeast-1 ap-northeast-2 ap-northeast-3 ap-south-1 ap-south-2 ap-southeast-1 ap-southeast-2 ca-central-1 eu-central-1 eu-central-2 eu-north-1 eu-south-1 eu-south-2 eu-west-1 eu-west-2 eu-west-3 sa-east-1 us-east-1 us-east-2 us-gov-east-1 us-gov-west-1 us-west-2 |
| Cohere | Command R | cohere.command-r-v1:0 |
us-east-1 us-west-2 |
|
| Cohere | Command R+ | cohere.command-r-plus-v1:0 |
us-east-1 us-west-2 |
|
| DeepSeek | DeepSeek-R1 | deepseek.r1-v1:0 |
us-east-1 us-east-2 us-west-2 |
|
| Meta | Llama 3 70B Instruct | meta.llama3-70b-instruct-v1:0 |
ap-south-1 ca-central-1 eu-west-2 us-east-1 us-gov-west-1 us-west-2 |
|
| Meta | Llama 3 8B Instruct | meta.llama3-8b-instruct-v1:0 |
ap-south-1 ca-central-1 eu-west-2 us-east-1 us-gov-west-1 us-west-2 |
|
| Meta | Llama 3.1 405B Instruct | meta.llama3-1-405b-instruct-v1:0 |
us-west-2 |
us-east-2 |
| Meta | Llama 3.1 70B Instruct | meta.llama3-1-70b-instruct-v1:0 |
us-west-2 |
us-east-1 us-east-2 us-west-2 |
| Meta | Llama 3.1 8B Instruct | meta.llama3-1-8b-instruct-v1:0 |
us-west-2 |
us-east-1 us-east-2 us-west-2 |
| Meta | Llama 3.2 11B Instruct | meta.llama3-2-11b-instruct-v1:0 |
us-east-1 us-east-2 us-west-2 |
|
| Meta | Llama 3.2 90B Instruct | meta.llama3-2-90b-instruct-v1:0 |
us-east-1 us-east-2 us-west-2 |
|
| Meta | Llama 3.3 70B Instruct | meta.llama3-3-70b-instruct-v1:0 |
us-east-2 |
us-east-1 us-east-2 us-west-2 |
| Mistral AI | Mistral Large (24.02) | mistral.mistral-large-2402-v1:0 |
ap-south-1 ap-southeast-2 ca-central-1 eu-west-1 eu-west-2 eu-west-3 sa-east-1 us-east-1 us-west-2 |
|
| Mistral AI | Mistral Large (24.07) | mistral.mistral-large-2407-v1:0 |
us-west-2 |
|
| Mistral AI | Mistral Small (24.02) | mistral.mistral-small-2402-v1:0 |
us-east-1 |
Amazon Bedrock Knowledge Bases also supports the use of inference profiles for parsing data or when generating responses. With inference profiles, you can track costs and metrics, and also do cross-Region inference to distribute model inference requests across a set of Regions to allow higher throughput. You can specify an inference profile in a RetrieveAndGenerate or CreateDataSource request. For more information, see Set up a model invocation resource using inference profiles.
Important
If you use cross-Region inference, your data can be shared across Regions.
You can also use SageMaker AI models or custom models that you train on your own data.
Note
If you use an SageMaker AI or custom model, you must specify the orchestration and generation prompts (for more information, see Knowledge base prompt templates in Configure and customize queries and response generation). Your prompts must include information variables to access the user's input and context.
Region and model support differ for some features in Amazon Bedrock Knowledge Bases. Select a topic to view support for a feature:
Topics
Supported models for vector embeddings
Amazon Bedrock Knowledge Bases uses an embedding model to convert your data into vector embeddings and store the embeddings in a vector database. For more information, see Turning data into a knowledge base.
Amazon Bedrock Knowledge Bases supports vector embeddings using the following foundation models:
| Provider | Model | Model ID | Single-region model support |
|---|---|---|---|
| Amazon | Titan Embeddings G1 - Text | amazon.titan-embed-text-v1 |
ap-northeast-1 eu-central-1 us-east-1 us-west-2 |
| Amazon | Titan Text Embeddings V2 | amazon.titan-embed-text-v2:0 |
ap-northeast-1 ap-northeast-2 ap-northeast-3 ap-south-1 ap-south-2 ap-southeast-2 ca-central-1 eu-central-1 eu-central-2 eu-north-1 eu-south-1 eu-south-2 eu-west-1 eu-west-2 eu-west-3 sa-east-1 us-east-1 us-east-2 us-gov-east-1 us-gov-west-1 us-west-2 |
| Cohere | Embed English | cohere.embed-english-v3 |
ap-northeast-1 ap-south-1 ap-southeast-1 ap-southeast-2 ca-central-1 eu-central-1 eu-west-1 eu-west-2 eu-west-3 sa-east-1 us-east-1 us-west-2 |
| Cohere | Embed Multilingual | cohere.embed-multilingual-v3 |
ap-northeast-1 ap-south-1 ap-southeast-1 ap-southeast-2 ca-central-1 eu-central-1 eu-west-1 eu-west-2 eu-west-3 sa-east-1 us-east-1 us-west-2 |
Embedding models support the following vector types.
| Model name | Supported vector type | Supported number of dimensions |
|---|---|---|
| Amazon Titan Embeddings G1 - Text | Floating-point | 1536 |
| Amazon Titan Text Embeddings V2 | Floating-point, binary | 256, 512, 1024 |
| Cohere Embed (English) | Floating-point, binary | 1024 |
| Cohere Embed (Multilingual) | Floating-point, binary | 1024 |
| Amazon Titan Multimodal Embeddings G1 | Floating-point | 1024 |
| Cohere Embed v3 (Multimodal) | Floating-point, binary | 1024 |
Supported models and Regions for parsing
When converting data into vector embeddings, you have different options for parsing your data in Amazon Bedrock Knowledge Bases. For more information, see Parsing options for your data source.
The following lists support for parsing options:
-
The Amazon Bedrock Data Automation parser is supported in US West (Oregon) and is in preview and subject to change.
-
The following foundation model families can be used as a parser:
-
Claude vision models
-
Nova vision models
-
LLama 4 vision models
Foundation model parsing is available in AWS Regions where these models are directly available (not through cross-region inference). For current model availability by Region, see Supported foundation models in Amazon Bedrock.
-
Supported models and Regions for reranking results during query
When retrieving knowledge base query results, you can use a reranking model to rerank results from knowledge base query. For more information, see Query a knowledge base and retrieve data and Query a knowledge base and generate responses based off the retrieved data.
For a list of models and Regions that support reranking, see Supported Regions and models for reranking in Amazon Bedrock.
Supported Regions for Knowledge Bases with structured data stores
Knowledge Bases with structured data stores allow you to connect knowledge bases to structured data stores and convert natural language queries into SQL queries. For more information, see Build a knowledge base by connecting to a structured data store.
Knowledge Bases with structured data stores are available in the following AWS Regions:
-
Europe (Frankfurt)
-
Europe (Zurich)
-
Europe (Ireland)
-
Europe (London)
-
Europe (Paris)
-
Asia Pacific (Tokyo)
-
Asia Pacific (Seoul)
-
Asia Pacific (Mumbai)
-
Asia Pacific (Singapore)
-
Asia Pacific (Sydney)
-
Canada (Central)
-
South America (São Paulo)
-
US East (N. Virginia)
-
US East (Ohio)
-
US West (Oregon)
-
AWS GovCloud (US-West)
