Addition of Google Gemini Chat Model, Credential and Associated Embeddings

2026-06-28 17:01:00 +03:00 · 2023-12-15 20:58:08 +05:30
parent 6a17cdc315
commit e7f13c87d8
6 changed files with 239 additions and 0 deletions
@@ -0,0 +1,105 @@
+import { GoogleVertexAIEmbeddings } from 'langchain/embeddings/googlevertexai'
+import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
+import { GoogleGenerativeAIEmbeddings, GoogleGenerativeAIEmbeddingsParams } from '@langchain/google-genai'
+import { TaskType } from '@google/generative-ai'
+
+class GoogleGenerativeAIEmbedding_Embeddings implements INode {
+    label: string
+    name: string
+    version: number
+    type: string
+    icon: string
+    category: string
+    description: string
+    baseClasses: string[]
+    inputs: INodeParams[]
+    credential: INodeParams
+
+    constructor() {
+        this.label = 'GoogleGenerativeAI Embeddings'
+        this.name = 'googleGenerativeAiEmbeddings'
+        this.version = 1.0
+        this.type = 'GoogleGenerativeAiEmbeddings'
+        this.icon = 'gemini.png'
+        this.category = 'Embeddings'
+        this.description = 'Google Generative API to generate embeddings for a given text'
+        this.baseClasses = [this.type, ...getBaseClasses(GoogleVertexAIEmbeddings)]
+        this.credential = {
+            label: 'Connect Credential',
+            name: 'credential',
+            type: 'credential',
+            credentialNames: ['googleGenerativeAI'],
+            optional: true,
+            description: 'Google Generative AI credential.'
+        }
+        this.inputs = [
+            {
+                label: 'Model Name',
+                name: 'modelName',
+                type: 'options',
+                options: [
+                    {
+                        label: 'embedding-001',
+                        name: 'embedding-001'
+                    }
+                ],
+                default: 'embedding-001'
+            },
+            {
+                label: 'Task Type',
+                name: 'tasktype',
+                type: 'options',
+                description: 'Type of task for which the embedding will be used',
+                options: [
+                    { label: 'TASK_TYPE_UNSPECIFIED', name: 'TASK_TYPE_UNSPECIFIED' },
+                    { label: 'RETRIEVAL_QUERY', name: 'RETRIEVAL_QUERY' },
+                    { label: 'RETRIEVAL_DOCUMENT', name: 'RETRIEVAL_DOCUMENT' },
+                    { label: 'SEMANTIC_SIMILARITY', name: 'SEMANTIC_SIMILARITY' },
+                    { label: 'CLASSIFICATION', name: 'CLASSIFICATION' },
+                    { label: 'CLUSTERING', name: 'CLUSTERING' }
+                ],
+                default: 'TASK_TYPE_UNSPECIFIED'
+            }
+        ]
+    }
+
+    // eslint-disable-next-line unused-imports/no-unused-vars
+    async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
+        const modelName = nodeData.inputs?.modelName as string
+        const credentialData = await getCredentialData(nodeData.credential ?? '', options)
+        const apiKey = getCredentialParam('googleGenerativeAPIKey', credentialData, nodeData)
+
+        let taskType: TaskType
+        switch (nodeData.inputs?.tasktype as string) {
+            case 'RETRIEVAL_QUERY':
+                taskType = TaskType.RETRIEVAL_QUERY
+                break
+            case 'RETRIEVAL_DOCUMENT':
+                taskType = TaskType.RETRIEVAL_DOCUMENT
+                break
+            case 'SEMANTIC_SIMILARITY':
+                taskType = TaskType.SEMANTIC_SIMILARITY
+                break
+            case 'CLASSIFICATION':
+                taskType = TaskType.CLASSIFICATION
+                break
+            case 'CLUSTERING':
+                taskType = TaskType.CLUSTERING
+                break
+            default:
+                taskType = TaskType.TASK_TYPE_UNSPECIFIED
+                break
+        }
+        const obj: GoogleGenerativeAIEmbeddingsParams = {
+            apiKey: apiKey,
+            modelName: modelName,
+            taskType: taskType
+        }
+
+        const model = new GoogleGenerativeAIEmbeddings(obj)
+        return model
+    }
+}
+
+module.exports = { nodeClass: GoogleGenerativeAIEmbedding_Embeddings }