generative-ai-cdk-constructs

@cdklabs/generative-ai-cdk-constructs • Docs

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@cdklabs/generative-ai-cdk-constructs / bedrock / KnowledgeBaseProps

Interface: KnowledgeBaseProps

Properties for a knowledge base

Properties

description?

readonly optional description: string

The description of the knowledge base.

Default

- No description provided.

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embeddingsModel

readonly embeddingsModel: BedrockFoundationModel

The embeddings model for the knowledge base

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existingRole?

readonly optional existingRole: IRole

Existing IAM role with a policy statement granting permission to invoke the specific embeddings model. Any entity (e.g., an AWS service or application) that assumes this role will be able to invoke or use the specified embeddings model within the Bedrock service.

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indexName?

readonly optional indexName: string

The name of the vector index. If vectorStore is not of type VectorCollection, do not include this property as it will throw error.

Default

- 'bedrock-knowledge-base-default-index'

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instruction?

readonly optional instruction: string

A narrative description of the knowledge base.

A Bedrock Agent can use this instruction to determine if it should query this Knowledge Base.

Default

- No description provided.

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knowledgeBaseState?

readonly optional knowledgeBaseState: string

Specifies whether to use the knowledge base or not when sending an InvokeAgent request.

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name?

readonly optional name: string

The name of the knowledge base.

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tags?

readonly optional tags: Record<string, string>

OPTIONAL: Tag (KEY-VALUE) bedrock agent resource

Default

- false

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vectorField?

readonly optional vectorField: string

The name of the field in the vector index. If vectorStore is not of type VectorCollection, do not include this property as it will throw error.

Default

- 'bedrock-knowledge-base-default-vector'

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vectorIndex?

readonly optional vectorIndex: VectorIndex

The vector index for the OpenSearch Serverless backed knowledge base. If vectorStore is not of type VectorCollection, do not include this property as it will throw error.

Default

• A new vector index is created on the Vector Collection if vector store is of VectorCollection type.

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vectorStore?

readonly optional vectorStore: ExistingAmazonAuroraVectorStore | AmazonAuroraVectorStore | VectorCollection | PineconeVectorStore

The vector store for the knowledge base. Must be either of type VectorCollection, RedisEnterpriseVectorStore, PineconeVectorStore or AmazonAuroraVectorStore.

Default

- A new OpenSearch Serverless vector collection is created.

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