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MokshagnaVDeepak-Ayilliath
MokshagnaV
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Deepak-Ayilliath
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Add Google Gemini Use Case Template (#513)
* Add gemini template * Update template metadata with the Google Gemini template * Rename RAG-Powered Slack Assistant Using Gemini and Milvus.yaml to RAG-Powered Slack Assistant Using Google Gemini and Milvus * Create instructions for RAG-Powered Slack Assistant template Added instructions for using the RAG-Powered Slack Assistant with Google Gemini and Milvus. * Rename RAG-Powered Slack Assistant Using Google Gemini and Milvus to RAG-Powered Slack Assistant Using Google Gemini and Milvus.yaml * Add Transcripts Summary Gemini UseCase * Add instructions file for Gemini UseCase * Update template-metadata.json * Update Daily Meeting Summary Generator Using Google Gemini and Email Notifications_instructions.md * Update and rename Daily Meeting Summary Generator Using Google Gemini and Email Notifications.yaml to Send a daily email notification that summarizes the meetings using Google Gemini.yaml * Update link in daily email notification instructions * Update and rename RAG-Powered Slack Assistant Using Google Gemini and Milvus.yaml to RAG-powered Slack knowledge assistant using Google Gemini and Milvus.yaml * Update and rename RAG-Powered Slack Assistant Using Google Gemini and Milvus_instructions.md to RAG-powered Slack knowledge assistant using Google Gemini and Milvus * Rename RAG-powered Slack knowledge assistant using Google Gemini and Milvus to RAG-powered Slack knowledge assistant using Google Gemini and Milvus_instructions.md * Update RAG-powered Slack knowledge assistant using Google Gemini and Milvus_instructions.md * Update Send a daily email notification that summarizes the meetings using Google Gemini_instructions.md * Update template-metadata.json * Corrections --------- Co-authored-by: Deepak Ayilliath <[email protected]>
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‎resources/RAG-powered Slack knowledge assistant using Google Gemini and Milvus.yaml‎

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$integration: http://ibm.com/appconnect/integration/v2/integrationFile
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integration:
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type: trigger-action
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trigger-interfaces:
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trigger-interface-1:
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type: event-trigger
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connector-type: slack
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triggers:
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CREATED:
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assembly:
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$ref: '#/integration/assemblies/assembly-1'
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input-context:
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data: RawMessage
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options:
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webhookURLSuffix: uU4G8iFpR0iShb_KMOFOF0fRhRbK6azsvxMP7lSR3NAopK2rEQ6jJQEyqA0HfheE
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connectorServiceOptions:
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httpMethod: post
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path: resources/RawMessage/operations/CREATED/subscribe
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action: created
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action-interfaces:
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action-interface-1:
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type: api-action
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business-object: message
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connector-type: slack
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actions:
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CREATE: {}
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options:
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connectorServiceOptions:
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httpMethod: post
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path: resources/{OBJECT_NAME}/{OBJECT_ID}/message
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action: create
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action-interface-2:
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type: api-action
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business-object: Text embeddings
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connector-type: googlegemini
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actions:
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postEmbedContent: {}
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options:
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connectorServiceOptions:
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httpMethod: post
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path: resources/Text%20embeddings/operations/postEmbedContent
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action: custom
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action-interface-3:
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type: api-action
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business-object: Vectors
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connector-type: milvus
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actions:
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searchVector: {}
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options:
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connectorServiceOptions:
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httpMethod: post
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path: >-
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resources/Databases/{dbName}/Collections/{collectionName}/Vectors/operations/searchVector
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action: custom
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action-interface-4:
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type: api-action
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business-object: Text generation
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connector-type: googlegemini
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actions:
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postGenerateTextByModelId: {}
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options:
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connectorServiceOptions:
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httpMethod: post
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path: resources/Text%20generation/operations/postGenerateTextByModelId
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action: custom
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assemblies:
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assembly-1:
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assembly:
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execute:
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- custom-action:
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name: Google Gemini Generate embeddings
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target:
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$ref: '#/integration/action-interfaces/action-interface-2'
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action: postEmbedContent
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map:
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mappings:
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- content:
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mappings:
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- parts:
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foreach:
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input: '[{}]'
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iterator: partsItem
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mappings:
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- text:
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template: '{{$Trigger.messageBody}} '
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- modelId:
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template: models/embedding-001
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$map: http://ibm.com/appconnect/map/v1
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input:
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- variable: Trigger
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$ref: '#/trigger/payload'
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- variable: flowDetails
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$ref: '#/flowDetails'
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filter: {}
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- custom-action:
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name: Milvus Search vector
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target:
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$ref: '#/integration/action-interfaces/action-interface-3'
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action: searchVector
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map:
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mappings:
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- annsField:
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template: vector
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- collectionName:
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template: sf
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- data:
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expression: '[[$GoogleGeminiGenerateembeddings.embedding.values ]]'
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- dbName:
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template: default
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- outputFields:
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expression: '["data"]'
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$map: http://ibm.com/appconnect/map/v1
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input:
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- variable: Trigger
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$ref: '#/trigger/payload'
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- variable: GoogleGeminiGenerateembeddings
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$ref: >-
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#/node-output/Google Gemini Generate
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embeddings/response/payload
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- variable: flowDetails
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$ref: '#/flowDetails'
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filter:
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where:
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and:
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- collectionName: sf
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- dbName: default
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input:
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- variable: Trigger
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$ref: '#/trigger/payload'
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- variable: GoogleGeminiGenerateembeddings
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$ref: >-
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#/node-output/Google Gemini Generate
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embeddings/response/payload
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- variable: flowDetails
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$ref: '#/flowDetails'
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- custom-action:
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name: Google Gemini Generate text with Gemini model
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target:
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$ref: '#/integration/action-interfaces/action-interface-4'
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action: postGenerateTextByModelId
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map:
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mappings:
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- modelId:
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template: models/gemini-1.5-pro
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- text:
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template: >-
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Based on the given context
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{{$join($MilvusSearchvector.data.data, "\n")}}. Please
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answer this question: {{$Trigger.messageBody}}
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$map: http://ibm.com/appconnect/map/v1
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input:
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- variable: Trigger
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$ref: '#/trigger/payload'
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- variable: GoogleGeminiGenerateembeddings
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$ref: >-
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#/node-output/Google Gemini Generate
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embeddings/response/payload
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- variable: MilvusSearchvector
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$ref: '#/node-output/Milvus Search vector/response/payload'
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- variable: flowDetails
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$ref: '#/flowDetails'
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filter: {}
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- create-action:
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name: Slack Send message
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target:
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$ref: '#/integration/action-interfaces/action-interface-1'
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map:
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mappings:
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- OBJECT_ID:
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template: C099ZTD3Q76
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- OBJECT_NAME:
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template: channel
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- text:
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template: ' {{$Trigger.messageBody}} : \n {{$GoogleGeminiGeneratetextwithGeminimodel.candidates.content.parts.text}}'
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$map: http://ibm.com/appconnect/map/v1
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input:
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- variable: Trigger
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$ref: '#/trigger/payload'
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- variable: GoogleGeminiGenerateembeddings
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$ref: >-
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#/node-output/Google Gemini Generate
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embeddings/response/payload
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- variable: MilvusSearchvector
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$ref: '#/node-output/Milvus Search vector/response/payload'
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- variable: GoogleGeminiGeneratetextwithGeminimodel
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$ref: >-
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#/node-output/Google Gemini Generate text with Gemini
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model/response/payload
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- variable: flowDetails
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$ref: '#/flowDetails'
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name: RAG-powered Slack knowledge assistant using Google Gemini and Milvus
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models: {}

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