> For the complete documentation index, see [llms.txt](https://doc.duaer.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://doc.duaer.com/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.embeddingsawsbedrock.md).

# Use Embeddings AWS Bedrock in Duaer

Embeddings AWS Bedrock in Duaer is an AI or cluster node, often used with model, tool, or vector-store sub-nodes. Node note: Use Embeddings AWS Bedrock
## Embeddings AWS Bedrock in Duaer

Embeddings AWS Bedrock is used in Duaer’s AI or cluster features, often wired with chat-model, tool, or vector-store sub-nodes.

The product’s node note is: Use Embeddings AWS Bedrock.

## Credentials and parameters

Create the credential type this service needs under Credentials.

Parameters accept expressions. Tool parameters that an AI Agent should fill use $fromAI. When a run fails, read the error on the node output first.
## Questions

### How do you add Embeddings AWS Bedrock to a Duaer digital organization?

Open the node panel on the Duaer canvas, search for Embeddings AWS Bedrock, and drop it onto the digital organization. Connect it after a trigger or a previous node. If auth is required, save the credential first and select it on the node.

### What should you check first when Embeddings AWS Bedrock fails in Duaer?

Read the error text on that node’s output, then confirm the credential still works and required parameters are filled. For app nodes, also check permissions and quota on the provider side.