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/**
* Pinecone Vector Store Construct Library
*
* ---
*
* 
*
*
*
* All classes are under active development and subject to non-backward compatible changes or removal in any
* future version. These are not subject to the Semantic Versioning model.
* This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.
*
*
*
*
*
*
*
* | Language | Package |
* |:-------------|-----------------|
* |
TypeScript|@cdklabs/generative-ai-cdk-constructs|
* |
Python|cdklabs.generative_ai_cdk_constructs|
*
* This construct library provides a class that defines an existing Pinecone database to be used for a vector store for a Knowledge Base.
*
*
Table of contents
*
*
* - API
* - Pinecone Vector Store
*
*
*
API
*
* See the API documentation.
*
*
Pinecone Vector Store
*
* TypeScript
*
*
* import { pinecone } from '@cdklabs/generative-ai-cdk-constructs';
*
* new pinecone.PineconeVectorStore({
* connectionString: 'https://your-index-1234567.svc.gcp-starter.pinecone.io',
* credentialsSecretArn: 'arn:aws:secretsmanager:your-region:123456789876:secret:your-key-name',
* textField: 'question',
* metadataField: 'metadata'
* });
*
*
* Python
*
*
* from cdklabs.generative_ai_cdk_constructs import (
* pinecone
* )
*
* pineconevs = pinecone.PineconeVectorStore(
* connection_string='https://your-index-1234567.svc.gcp-starter.pinecone.io',
* credentials_secret_arn='arn:aws:secretsmanager:your-region:123456789876:secret:your-key-name',
* )
*
*/
package io.github.cdklabs.generative_ai_cdk_constructs.pinecone;