mirror of
https://github.com/farcasclaudiu/Flowise.git
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Merge branch 'main' into feature/LlamaIndex
# Conflicts: # packages/components/nodes/agents/ConversationalAgent/ConversationalAgent.ts # packages/components/nodes/agents/ConversationalRetrievalAgent/ConversationalRetrievalAgent.ts # packages/components/nodes/agents/OpenAIAssistant/OpenAIAssistant.ts # packages/components/nodes/agents/OpenAIFunctionAgent/OpenAIFunctionAgent.ts # packages/components/nodes/chains/ConversationChain/ConversationChain.ts # packages/components/nodes/chains/ConversationalRetrievalQAChain/ConversationalRetrievalQAChain.ts # packages/components/nodes/memory/BufferMemory/BufferMemory.ts # packages/components/nodes/memory/BufferWindowMemory/BufferWindowMemory.ts # packages/components/nodes/memory/ConversationSummaryMemory/ConversationSummaryMemory.ts # packages/components/nodes/memory/DynamoDb/DynamoDb.ts # packages/components/nodes/memory/MongoDBMemory/MongoDBMemory.ts # packages/components/nodes/memory/MotorheadMemory/MotorheadMemory.ts # packages/components/nodes/memory/RedisBackedChatMemory/RedisBackedChatMemory.ts # packages/components/nodes/memory/UpstashRedisBackedChatMemory/UpstashRedisBackedChatMemory.ts # packages/components/nodes/memory/ZepMemory/ZepMemory.ts # packages/components/src/utils.ts # packages/server/marketplaces/chatflows/Long Term Memory.json # packages/server/src/index.ts # packages/server/src/utils/index.ts
This commit is contained in:
Henry
@@ -18,9 +18,9 @@ class AWSBedrockEmbedding_Embeddings implements INode {
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constructor() {
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this.label = 'AWS Bedrock Embeddings'
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this.name = 'AWSBedrockEmbeddings'
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this.version = 2.0
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this.version = 3.0
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this.type = 'AWSBedrockEmbeddings'
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this.icon = 'awsBedrock.png'
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this.icon = 'aws.svg'
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this.category = 'Embeddings'
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this.description = 'AWSBedrock embedding models to generate embeddings for a given text'
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this.baseClasses = [this.type, ...getBaseClasses(BedrockEmbeddings)]
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@@ -86,6 +86,13 @@ class AWSBedrockEmbedding_Embeddings implements INode {
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{ label: 'cohere.embed-multilingual-v3', name: 'cohere.embed-multilingual-v3' }
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],
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default: 'amazon.titan-embed-text-v1'
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},
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{
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label: 'Custom Model Name',
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name: 'customModel',
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description: 'If provided, will override model selected from Model Name option',
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type: 'string',
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optional: true
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}
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]
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}
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@@ -93,9 +100,10 @@ class AWSBedrockEmbedding_Embeddings implements INode {
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async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
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const iRegion = nodeData.inputs?.region as string
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const iModel = nodeData.inputs?.model as string
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const customModel = nodeData.inputs?.customModel as string
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const obj: BedrockEmbeddingsParams = {
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model: iModel,
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model: customModel ? customModel : iModel,
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region: iRegion
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}
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@@ -0,0 +1 @@
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<svg width="32" height="32" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M6 21c1.67 1.77 5.491 3 9.757 3 2.788 0 5.386-.525 7.317-1.383L25 21.65" stroke="#F90" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/><path d="m23 20 3 1.074L25.4 24" stroke="#F90" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/><path d="M24.564 9.44C23.677 8.76 21 8.633 21 10.796c0 2.396 4 .77 4 3.294 0 1.898-2.67 2.501-4 1.264M14 9v7l2-4 2 4V9" stroke="#252F3E" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/><path d="M7.053 8.597H8.21a2.526 2.526 0 0 1 2.526 2.526v4.842" stroke="#252F3E" stroke-width="2" stroke-linecap="round"/><circle cx="8.632" cy="13.86" stroke="#252F3E" stroke-width="2" r="2.105"/></svg>
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After Width: | Height: | Size: 753 B |
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@@ -1 +1 @@
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Before Width: | Height: | Size: 229 B After Width: | Height: | Size: 771 B |
+1
-1
@@ -29,7 +29,7 @@ class AzureOpenAIEmbedding_LlamaIndex_Embeddings implements INode {
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this.type = 'AzureOpenAIEmbeddings'
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this.icon = 'Azure.svg'
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this.category = 'Embeddings'
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this.description = 'Azure OpenAI API embeddings with LlamaIndex implementation'
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this.description = 'Azure OpenAI API embeddings specific for LlamaIndex'
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this.baseClasses = [this.type, 'BaseEmbedding_LlamaIndex', ...getBaseClasses(OpenAIEmbedding)]
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this.tags = ['LlamaIndex']
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this.credential = {
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@@ -0,0 +1 @@
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<svg width="32" height="32" fill="none" xmlns="http://www.w3.org/2000/svg"><path fill-rule="evenodd" clip-rule="evenodd" d="M11.776 18.304c.64 0 1.92-.032 3.712-.768 2.08-.864 6.176-2.4 9.152-4 2.08-1.12 2.976-2.592 2.976-4.576 0-2.72-2.208-4.96-4.96-4.96h-11.52A7.143 7.143 0 0 0 4 11.136c0 3.936 3.008 7.168 7.776 7.168Z" fill="#39594D"/><path fill-rule="evenodd" clip-rule="evenodd" d="M13.728 23.2c0-1.92 1.152-3.68 2.944-4.416l3.616-1.504C23.968 15.776 28 18.464 28 22.432A5.572 5.572 0 0 1 22.432 28h-3.936c-2.624 0-4.768-2.144-4.768-4.8Z" fill="#D18EE2"/><path d="M8.128 19.232A4.138 4.138 0 0 0 4 23.36v.544C4 26.144 5.856 28 8.128 28a4.138 4.138 0 0 0 4.128-4.128v-.544c-.032-2.24-1.856-4.096-4.128-4.096Z" fill="#FF7759"/></svg>
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After Width: | Height: | Size: 738 B |
@@ -19,7 +19,7 @@ class CohereEmbedding_Embeddings implements INode {
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this.name = 'cohereEmbeddings'
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this.version = 1.0
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this.type = 'CohereEmbeddings'
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this.icon = 'cohere.png'
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this.icon = 'Cohere.svg'
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this.category = 'Embeddings'
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this.description = 'Cohere API to generate embeddings for a given text'
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this.baseClasses = [this.type, ...getBaseClasses(CohereEmbeddings)]
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Binary file not shown.
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@@ -0,0 +1,34 @@
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</mask>
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<g mask="url(#mask0_42_15021)">
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<feGaussianBlur stdDeviation="5" result="effect1_foregroundBlur_42_15021"/>
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<feFlood flood-opacity="0" result="BackgroundImageFix"/>
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<feBlend mode="normal" in="SourceGraphic" in2="BackgroundImageFix" result="shape"/>
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After Width: | Height: | Size: 3.0 KiB |
+104
@@ -0,0 +1,104 @@
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import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
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import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
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import { GoogleGenerativeAIEmbeddings, GoogleGenerativeAIEmbeddingsParams } from '@langchain/google-genai'
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import { TaskType } from '@google/generative-ai'
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class GoogleGenerativeAIEmbedding_Embeddings implements INode {
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label: string
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name: string
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version: number
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type: string
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icon: string
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category: string
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description: string
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baseClasses: string[]
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inputs: INodeParams[]
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credential: INodeParams
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constructor() {
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this.label = 'GoogleGenerativeAI Embeddings'
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this.name = 'googleGenerativeAiEmbeddings'
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this.version = 1.0
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this.type = 'GoogleGenerativeAiEmbeddings'
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this.icon = 'GoogleGemini.svg'
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this.category = 'Embeddings'
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this.description = 'Google Generative API to generate embeddings for a given text'
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this.baseClasses = [this.type, ...getBaseClasses(GoogleGenerativeAIEmbeddings)]
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this.credential = {
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label: 'Connect Credential',
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name: 'credential',
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type: 'credential',
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credentialNames: ['googleGenerativeAI'],
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optional: false,
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description: 'Google Generative AI credential.'
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}
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this.inputs = [
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{
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label: 'Model Name',
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name: 'modelName',
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type: 'options',
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options: [
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{
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label: 'embedding-001',
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name: 'embedding-001'
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}
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],
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default: 'embedding-001'
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},
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{
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label: 'Task Type',
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name: 'tasktype',
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type: 'options',
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description: 'Type of task for which the embedding will be used',
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options: [
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{ label: 'TASK_TYPE_UNSPECIFIED', name: 'TASK_TYPE_UNSPECIFIED' },
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{ label: 'RETRIEVAL_QUERY', name: 'RETRIEVAL_QUERY' },
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{ label: 'RETRIEVAL_DOCUMENT', name: 'RETRIEVAL_DOCUMENT' },
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{ label: 'SEMANTIC_SIMILARITY', name: 'SEMANTIC_SIMILARITY' },
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{ label: 'CLASSIFICATION', name: 'CLASSIFICATION' },
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{ label: 'CLUSTERING', name: 'CLUSTERING' }
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],
|
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default: 'TASK_TYPE_UNSPECIFIED'
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}
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]
|
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}
|
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|
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// eslint-disable-next-line unused-imports/no-unused-vars
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async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
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const modelName = nodeData.inputs?.modelName as string
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const credentialData = await getCredentialData(nodeData.credential ?? '', options)
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const apiKey = getCredentialParam('googleGenerativeAPIKey', credentialData, nodeData)
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let taskType: TaskType
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switch (nodeData.inputs?.tasktype as string) {
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case 'RETRIEVAL_QUERY':
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taskType = TaskType.RETRIEVAL_QUERY
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break
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case 'RETRIEVAL_DOCUMENT':
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taskType = TaskType.RETRIEVAL_DOCUMENT
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break
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case 'SEMANTIC_SIMILARITY':
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taskType = TaskType.SEMANTIC_SIMILARITY
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break
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case 'CLASSIFICATION':
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taskType = TaskType.CLASSIFICATION
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break
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case 'CLUSTERING':
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taskType = TaskType.CLUSTERING
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break
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default:
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taskType = TaskType.TASK_TYPE_UNSPECIFIED
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break
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}
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const obj: GoogleGenerativeAIEmbeddingsParams = {
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apiKey: apiKey,
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modelName: modelName,
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taskType: taskType
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}
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const model = new GoogleGenerativeAIEmbeddings(obj)
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return model
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}
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}
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module.exports = { nodeClass: GoogleGenerativeAIEmbedding_Embeddings }
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@@ -0,0 +1 @@
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|
After Width: | Height: | Size: 1.3 KiB |
@@ -19,7 +19,7 @@ class GooglePaLMEmbedding_Embeddings implements INode {
|
||||
this.name = 'googlePaLMEmbeddings'
|
||||
this.version = 1.0
|
||||
this.type = 'GooglePaLMEmbeddings'
|
||||
this.icon = 'Google_PaLM_Logo.svg'
|
||||
this.icon = 'GooglePaLM.svg'
|
||||
this.category = 'Embeddings'
|
||||
this.description = 'Google MakerSuite PaLM API to generate embeddings for a given text'
|
||||
this.baseClasses = [this.type, ...getBaseClasses(GooglePaLMEmbeddings)]
|
||||
|
||||
@@ -1,67 +0,0 @@
|
||||
<?xml version="1.0" encoding="utf-8"?>
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||||
<!-- Generator: Adobe Illustrator 27.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0) -->
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<svg version="1.1" id="Standard_product_icon__x28_1:1_x29_"
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xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" width="192px" height="192px"
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<symbol id="material_x5F_product_x5F_standard_x5F_icon_x5F_keylines_00000077318920148093339210000006245950728745084294_" viewBox="-96 -96 192 192">
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<g opacity="0.4">
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<defs>
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<path id="SVGID_1_" opacity="0.4" d="M-96,96V-96H96V96H-96z"/>
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<clipPath id="SVGID_00000071517564283228984050000017848131202901217410_">
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<use xlink:href="#SVGID_1_" overflow="visible"/>
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<g clip-path="url(#SVGID_00000071517564283228984050000017848131202901217410_)">
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<g>
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<path d="M95.75,95.75v-191.5h-191.5v191.5H95.75 M96,96H-96V-96H96V96L96,96z"/>
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<circle fill="none" stroke="#000000" stroke-width="0.25" stroke-miterlimit="10" cx="0" cy="0" r="64"/>
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After Width: | Height: | Size: 1.0 KiB |
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this.name = 'googlevertexaiEmbeddings'
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this.version = 1.0
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this.type = 'GoogleVertexAIEmbeddings'
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this.icon = 'vertexai.svg'
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this.icon = 'GoogleVertex.svg'
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this.category = 'Embeddings'
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this.description = 'Google vertexAI API to generate embeddings for a given text'
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this.baseClasses = [this.type, ...getBaseClasses(GoogleVertexAIEmbeddings)]
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@@ -1,2 +0,0 @@
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Before Width: | Height: | Size: 2.0 KiB |
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After Width: | Height: | Size: 1.6 KiB |
+1
-1
@@ -19,7 +19,7 @@ class HuggingFaceInferenceEmbedding_Embeddings implements INode {
|
||||
this.name = 'huggingFaceInferenceEmbeddings'
|
||||
this.version = 1.0
|
||||
this.type = 'HuggingFaceInferenceEmbeddings'
|
||||
this.icon = 'huggingface.png'
|
||||
this.icon = 'HuggingFace.svg'
|
||||
this.category = 'Embeddings'
|
||||
this.description = 'HuggingFace Inference API to generate embeddings for a given text'
|
||||
this.baseClasses = [this.type, ...getBaseClasses(HuggingFaceInferenceEmbeddings)]
|
||||
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 118 KiB |
@@ -1,4 +1,5 @@
|
||||
import { INode, INodeData, INodeParams } from '../../../src/Interface'
|
||||
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
|
||||
import { getCredentialData, getCredentialParam } from '../../../src/utils'
|
||||
import { OpenAIEmbeddings, OpenAIEmbeddingsParams } from 'langchain/embeddings/openai'
|
||||
|
||||
class LocalAIEmbedding_Embeddings implements INode {
|
||||
@@ -10,6 +11,7 @@ class LocalAIEmbedding_Embeddings implements INode {
|
||||
category: string
|
||||
description: string
|
||||
baseClasses: string[]
|
||||
credential: INodeParams
|
||||
inputs: INodeParams[]
|
||||
|
||||
constructor() {
|
||||
@@ -21,6 +23,13 @@ class LocalAIEmbedding_Embeddings implements INode {
|
||||
this.category = 'Embeddings'
|
||||
this.description = 'Use local embeddings models like llama.cpp'
|
||||
this.baseClasses = [this.type, 'Embeddings']
|
||||
this.credential = {
|
||||
label: 'Connect Credential',
|
||||
name: 'credential',
|
||||
type: 'credential',
|
||||
credentialNames: ['localAIApi'],
|
||||
optional: true
|
||||
}
|
||||
this.inputs = [
|
||||
{
|
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label: 'Base Path',
|
||||
@@ -37,15 +46,20 @@ class LocalAIEmbedding_Embeddings implements INode {
|
||||
]
|
||||
}
|
||||
|
||||
async init(nodeData: INodeData): Promise<any> {
|
||||
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
|
||||
const modelName = nodeData.inputs?.modelName as string
|
||||
const basePath = nodeData.inputs?.basePath as string
|
||||
|
||||
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
|
||||
const localAIApiKey = getCredentialParam('localAIApiKey', credentialData, nodeData)
|
||||
|
||||
const obj: Partial<OpenAIEmbeddingsParams> & { openAIApiKey?: string } = {
|
||||
modelName,
|
||||
openAIApiKey: 'sk-'
|
||||
}
|
||||
|
||||
if (localAIApiKey) obj.openAIApiKey = localAIApiKey
|
||||
|
||||
const model = new OpenAIEmbeddings(obj, { basePath })
|
||||
|
||||
return model
|
||||
|
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@@ -0,0 +1 @@
|
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<svg width="32" height="32" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M5 6H4v19.5h1m8-7.5v3h1m7-11.5V6h1m-5 7.5V10h1" stroke="#000" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/><mask id="MistralAI__a" style="mask-type:alpha" maskUnits="userSpaceOnUse" x="5" y="6" width="22" height="20"><path d="M5 6v19.5h5v-8h4V21h4v-3.5h4V25h5V6h-4.5v4H18v3.5h-4v-4h-4V6H5Z" fill="#FD7000"/></mask><g mask="url(#MistralAI__a)"><path fill="#FFCD00" d="M4 6h25v4H4z"/></g><mask id="MistralAI__b" style="mask-type:alpha" maskUnits="userSpaceOnUse" x="5" y="6" width="22" height="20"><path d="M5 6v19.5h5v-8h4V21h4v-3.5h4V25h5V6h-4.5v4H18v3.5h-4v-4h-4V6H5Z" fill="#FD7000"/></mask><g mask="url(#MistralAI__b)"><path fill="#FFA200" d="M4 10h25v4H4z"/></g><mask id="MistralAI__c" style="mask-type:alpha" maskUnits="userSpaceOnUse" x="5" y="6" width="22" height="20"><path d="M5 6v19.5h5v-8h4V21h4v-3.5h4V25h5V6h-4.5v4H18v3.5h-4v-4h-4V6H5Z" fill="#FD7000"/></mask><g mask="url(#MistralAI__c)"><path fill="#FF6E00" d="M4 14h25v4H4z"/></g><mask id="MistralAI__d" style="mask-type:alpha" maskUnits="userSpaceOnUse" x="5" y="6" width="22" height="20"><path d="M5 6v19.5h5v-8h4V21h4v-3.5h4V25h5V6h-4.5v4H18v3.5h-4v-4h-4V6H5Z" fill="#FD7000"/></mask><g mask="url(#MistralAI__d)"><path fill="#FF4A09" d="M4 18h25v4H4z"/></g><mask id="MistralAI__e" style="mask-type:alpha" maskUnits="userSpaceOnUse" x="5" y="6" width="22" height="20"><path d="M5 6v19.5h5v-8h4V21h4v-3.5h4V25h5V6h-4.5v4H18v3.5h-4v-4h-4V6H5Z" fill="#FD7000"/></mask><g mask="url(#MistralAI__e)"><path fill="#FE060F" d="M4 22h25v4H4z"/></g><path d="M21 18v7h1" stroke="#000" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/><path d="M5 6v19.5h5v-8h4V21h4v-3.5h4V25h5V6h-4.5v4H18v3.5h-4v-4h-4V6H5Z" stroke="#000" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/></svg>
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|
After Width: | Height: | Size: 1.8 KiB |
@@ -0,0 +1,95 @@
|
||||
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
|
||||
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
|
||||
import { MistralAIEmbeddings, MistralAIEmbeddingsParams } from '@langchain/mistralai'
|
||||
|
||||
class MistralEmbedding_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 = 'MistralAI Embeddings'
|
||||
this.name = 'mistralAI Embeddings'
|
||||
this.version = 1.0
|
||||
this.type = 'MistralAIEmbeddings'
|
||||
this.icon = 'MistralAI.svg'
|
||||
this.category = 'Embeddings'
|
||||
this.description = 'MistralAI API to generate embeddings for a given text'
|
||||
this.baseClasses = [this.type, ...getBaseClasses(MistralAIEmbeddings)]
|
||||
this.credential = {
|
||||
label: 'Connect Credential',
|
||||
name: 'credential',
|
||||
type: 'credential',
|
||||
credentialNames: ['mistralAIApi']
|
||||
}
|
||||
this.inputs = [
|
||||
{
|
||||
label: 'Model Name',
|
||||
name: 'modelName',
|
||||
type: 'options',
|
||||
options: [
|
||||
{
|
||||
label: 'mistral-embed',
|
||||
name: 'mistral-embed'
|
||||
}
|
||||
],
|
||||
default: 'mistral-embed'
|
||||
},
|
||||
{
|
||||
label: 'Batch Size',
|
||||
name: 'batchSize',
|
||||
type: 'number',
|
||||
step: 1,
|
||||
default: 512,
|
||||
optional: true,
|
||||
additionalParams: true
|
||||
},
|
||||
{
|
||||
label: 'Strip New Lines',
|
||||
name: 'stripNewLines',
|
||||
type: 'boolean',
|
||||
default: true,
|
||||
optional: true,
|
||||
additionalParams: true
|
||||
},
|
||||
{
|
||||
label: 'Override Endpoint',
|
||||
name: 'overrideEndpoint',
|
||||
type: 'string',
|
||||
optional: true,
|
||||
additionalParams: true
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
|
||||
const modelName = nodeData.inputs?.modelName as string
|
||||
const batchSize = nodeData.inputs?.batchSize as string
|
||||
const stripNewLines = nodeData.inputs?.stripNewLines as boolean
|
||||
const overrideEndpoint = nodeData.inputs?.overrideEndpoint as string
|
||||
|
||||
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
|
||||
const apiKey = getCredentialParam('mistralAIAPIKey', credentialData, nodeData)
|
||||
|
||||
const obj: MistralAIEmbeddingsParams = {
|
||||
apiKey: apiKey,
|
||||
modelName: modelName
|
||||
}
|
||||
|
||||
if (batchSize) obj.batchSize = parseInt(batchSize, 10)
|
||||
if (stripNewLines) obj.stripNewLines = stripNewLines
|
||||
if (overrideEndpoint) obj.endpoint = overrideEndpoint
|
||||
|
||||
const model = new MistralAIEmbeddings(obj)
|
||||
return model
|
||||
}
|
||||
}
|
||||
|
||||
module.exports = { nodeClass: MistralEmbedding_Embeddings }
|
||||
@@ -0,0 +1 @@
|
||||
<svg width="32" height="32" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M7 27.5c0-1.273.388-2.388.97-3-.582-.612-.97-1.727-.97-3 0-1.293.4-2.422.996-3.028A4.818 4.818 0 0 1 7 15.5c0-2.485 1.79-4.5 4-4.5l.1.001a5.002 5.002 0 0 1 9.8 0L21 11c2.21 0 4 2.015 4 4.5 0 1.139-.376 2.18-.996 2.972.595.606.996 1.735.996 3.028 0 1.273-.389 2.388-.97 3 .581.612.97 1.727.97 3" stroke="#000" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/><path d="M9.5 11C9.167 8.5 9 4 11 4c1.5 0 1.667 2.667 2 4m9.5 3c.333-2.5.5-7-1.5-7-1.5 0-1.667 2.667-2 4" stroke="#000" stroke-width="2" stroke-linecap="round"/><circle cx="11" cy="15" r="1" fill="#000"/><circle cx="21" cy="15" r="1" fill="#000"/><path d="M13 17c0-2 2-2.5 3-2.5s3 .5 3 2.5-2 2.5-3 2.5-3-.5-3-2.5Z" stroke="#000" stroke-width="2" stroke-linecap="round"/></svg>
|
||||
|
After Width: | Height: | Size: 834 B |
@@ -1,7 +1,7 @@
|
||||
import { INode, INodeData, INodeParams } from '../../../src/Interface'
|
||||
import { getBaseClasses } from '../../../src/utils'
|
||||
import { OllamaInput } from 'langchain/llms/ollama'
|
||||
import { OllamaEmbeddings } from 'langchain/embeddings/ollama'
|
||||
import { OllamaInput } from 'langchain/dist/util/ollama'
|
||||
|
||||
class OllamaEmbedding_Embeddings implements INode {
|
||||
label: string
|
||||
@@ -20,7 +20,7 @@ class OllamaEmbedding_Embeddings implements INode {
|
||||
this.name = 'ollamaEmbedding'
|
||||
this.version = 1.0
|
||||
this.type = 'OllamaEmbeddings'
|
||||
this.icon = 'ollama.png'
|
||||
this.icon = 'Ollama.svg'
|
||||
this.category = 'Embeddings'
|
||||
this.description = 'Generate embeddings for a given text using open source model on Ollama'
|
||||
this.baseClasses = [this.type, ...getBaseClasses(OllamaEmbeddings)]
|
||||
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 7.3 KiB |
@@ -19,7 +19,7 @@ class OpenAIEmbedding_Embeddings implements INode {
|
||||
this.name = 'openAIEmbeddings'
|
||||
this.version = 1.0
|
||||
this.type = 'OpenAIEmbeddings'
|
||||
this.icon = 'openai.png'
|
||||
this.icon = 'openai.svg'
|
||||
this.category = 'Embeddings'
|
||||
this.description = 'OpenAI API to generate embeddings for a given text'
|
||||
this.baseClasses = [this.type, ...getBaseClasses(OpenAIEmbeddings)]
|
||||
|
||||
@@ -20,9 +20,9 @@ class OpenAIEmbedding_LlamaIndex_Embeddings implements INode {
|
||||
this.name = 'openAIEmbedding_LlamaIndex'
|
||||
this.version = 1.0
|
||||
this.type = 'OpenAIEmbedding'
|
||||
this.icon = 'openai.png'
|
||||
this.icon = 'openai.svg'
|
||||
this.category = 'Embeddings'
|
||||
this.description = 'OpenAI Embedding with LlamaIndex implementation'
|
||||
this.description = 'OpenAI Embedding specific for LlamaIndex'
|
||||
this.baseClasses = [this.type, 'BaseEmbedding_LlamaIndex', ...getBaseClasses(OpenAIEmbedding)]
|
||||
this.tags = ['LlamaIndex']
|
||||
this.credential = {
|
||||
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 3.9 KiB |
@@ -0,0 +1,8 @@
|
||||
<svg width="32" height="32" viewBox="0 0 32 32" fill="none" xmlns="http://www.w3.org/2000/svg">
|
||||
<path d="M14.9814 25.2665C15.353 26.2672 16.0645 27.1054 16.9914 27.6347C17.9183 28.164 19.0018 28.3507 20.0524 28.1622C21.103 27.9737 22.054 27.422 22.7391 26.6034C23.4242 25.7849 23.7998 24.7517 23.8004 23.6842V17.5533C23.8004 17.1909 23.6043 16.8569 23.2879 16.6802L15.9995 12.6108" stroke="black" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>
|
||||
<path d="M7.17701 19.5848C6.49568 20.4069 6.12505 21.4424 6.12993 22.5101C6.13481 23.5779 6.51489 24.6099 7.2037 25.4258C7.89252 26.2416 8.84622 26.7893 9.89802 26.9732C10.9498 27.157 12.0328 26.9653 12.9575 26.4314L18.1044 23.4263C18.4114 23.247 18.6002 22.9182 18.6002 22.5627V14.106" stroke="black" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>
|
||||
<path d="M8.19877 9.98459C6.39026 9.67775 4.57524 10.4982 3.60403 12.1806C3.00524 13.2178 2.84295 14.4504 3.15284 15.6073C3.46273 16.7642 4.21943 17.7507 5.25652 18.3498L10.3049 21.3269C10.6109 21.5074 10.9898 21.5119 11.3001 21.3388L18.6 17.2655" stroke="black" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>
|
||||
<path d="M17.0172 6.06585C16.6456 5.06522 15.9342 4.227 15.0072 3.6977C14.0803 3.1684 12.9969 2.98168 11.9462 3.17018C10.8956 3.35869 9.94464 3.91042 9.25954 4.72895C8.57444 5.54747 8.19879 6.58074 8.19824 7.64814V13.6575C8.19824 14.0154 8.38951 14.346 8.69977 14.5244L15.9992 18.7215" stroke="black" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>
|
||||
<path d="M24.8216 11.7476C25.5029 10.9255 25.8735 9.89004 25.8687 8.8223C25.8638 7.75457 25.4837 6.72253 24.7949 5.90667C24.1061 5.09082 23.1524 4.54308 22.1006 4.35924C21.0488 4.17541 19.9658 4.36718 19.0411 4.90101L13.8942 7.90613C13.5872 8.08539 13.3984 8.41418 13.3984 8.76971V17.2265" stroke="black" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>
|
||||
<path d="M23.7997 21.2595C25.6082 21.5663 27.4232 20.7459 28.3944 19.0635C28.9932 18.0263 29.1555 16.7937 28.8456 15.6368C28.5357 14.4799 27.779 13.4934 26.7419 12.8943L21.6409 9.91752C21.3316 9.73703 20.9494 9.7357 20.6388 9.91405L17.2696 11.849L13.3984 14.0723" stroke="black" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 2.2 KiB |
@@ -19,7 +19,7 @@ class OpenAIEmbeddingCustom_Embeddings implements INode {
|
||||
this.name = 'openAIEmbeddingsCustom'
|
||||
this.version = 1.0
|
||||
this.type = 'OpenAIEmbeddingsCustom'
|
||||
this.icon = 'openai.png'
|
||||
this.icon = 'openai.svg'
|
||||
this.category = 'Embeddings'
|
||||
this.description = 'OpenAI API to generate embeddings for a given text'
|
||||
this.baseClasses = [this.type, ...getBaseClasses(OpenAIEmbeddings)]
|
||||
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 3.9 KiB |
@@ -0,0 +1,8 @@
|
||||
<svg width="32" height="32" viewBox="0 0 32 32" fill="none" xmlns="http://www.w3.org/2000/svg">
|
||||
<path d="M14.9814 25.2665C15.353 26.2672 16.0645 27.1054 16.9914 27.6347C17.9183 28.164 19.0018 28.3507 20.0524 28.1622C21.103 27.9737 22.054 27.422 22.7391 26.6034C23.4242 25.7849 23.7998 24.7517 23.8004 23.6842V17.5533C23.8004 17.1909 23.6043 16.8569 23.2879 16.6802L15.9995 12.6108" stroke="black" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>
|
||||
<path d="M7.17701 19.5848C6.49568 20.4069 6.12505 21.4424 6.12993 22.5101C6.13481 23.5779 6.51489 24.6099 7.2037 25.4258C7.89252 26.2416 8.84622 26.7893 9.89802 26.9732C10.9498 27.157 12.0328 26.9653 12.9575 26.4314L18.1044 23.4263C18.4114 23.247 18.6002 22.9182 18.6002 22.5627V14.106" stroke="black" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>
|
||||
<path d="M8.19877 9.98459C6.39026 9.67775 4.57524 10.4982 3.60403 12.1806C3.00524 13.2178 2.84295 14.4504 3.15284 15.6073C3.46273 16.7642 4.21943 17.7507 5.25652 18.3498L10.3049 21.3269C10.6109 21.5074 10.9898 21.5119 11.3001 21.3388L18.6 17.2655" stroke="black" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>
|
||||
<path d="M17.0172 6.06585C16.6456 5.06522 15.9342 4.227 15.0072 3.6977C14.0803 3.1684 12.9969 2.98168 11.9462 3.17018C10.8956 3.35869 9.94464 3.91042 9.25954 4.72895C8.57444 5.54747 8.19879 6.58074 8.19824 7.64814V13.6575C8.19824 14.0154 8.38951 14.346 8.69977 14.5244L15.9992 18.7215" stroke="black" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>
|
||||
<path d="M24.8216 11.7476C25.5029 10.9255 25.8735 9.89004 25.8687 8.8223C25.8638 7.75457 25.4837 6.72253 24.7949 5.90667C24.1061 5.09082 23.1524 4.54308 22.1006 4.35924C21.0488 4.17541 19.9658 4.36718 19.0411 4.90101L13.8942 7.90613C13.5872 8.08539 13.3984 8.41418 13.3984 8.76971V17.2265" stroke="black" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>
|
||||
<path d="M23.7997 21.2595C25.6082 21.5663 27.4232 20.7459 28.3944 19.0635C28.9932 18.0263 29.1555 16.7937 28.8456 15.6368C28.5357 14.4799 27.779 13.4934 26.7419 12.8943L21.6409 9.91752C21.3316 9.73703 20.9494 9.7357 20.6388 9.91405L17.2696 11.849L13.3984 14.0723" stroke="black" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 2.2 KiB |
Reference in New Issue
Block a user