Add Custom Dimensionality Support for OpenAI Embedding Components (#2249)

* Add Dimentions Feature to the OpenAIEmbeddings, based on https://js.langchain.com/docs/integrations/text_embedding/openai

* Fixing typos and pushing it under Additional Data

* peer-review comments, incremented version with a major and linted

packages/components/nodes/embeddings/OpenAIEmbedding/OpenAIEmbedding.ts

@@ -18,7 +18,7 @@ class OpenAIEmbedding_Embeddings implements INode {
     constructor() {
         this.label = 'OpenAI Embeddings'
         this.name = 'openAIEmbeddings'
-        this.version = 3.0
+        this.version = 4.0
         this.type = 'OpenAIEmbeddings'
         this.icon = 'openai.svg'
         this.category = 'Embeddings'
@@ -65,6 +65,13 @@ class OpenAIEmbedding_Embeddings implements INode {
                 type: 'string',
                 optional: true,
                 additionalParams: true
+            },
+            {
+                label: 'Dimensions',
+                name: 'dimensions',
+                type: 'number',
+                optional: true,
+                additionalParams: true
             }
         ]
     }
@@ -82,6 +89,7 @@ class OpenAIEmbedding_Embeddings implements INode {
         const timeout = nodeData.inputs?.timeout as string
         const basePath = nodeData.inputs?.basepath as string
         const modelName = nodeData.inputs?.modelName as string
+        const dimensions = nodeData.inputs?.dimensions as string
 
         if (nodeData.inputs?.credentialId) {
             nodeData.credential = nodeData.inputs?.credentialId
@@ -97,6 +105,7 @@ class OpenAIEmbedding_Embeddings implements INode {
         if (stripNewLines) obj.stripNewLines = stripNewLines
         if (batchSize) obj.batchSize = parseInt(batchSize, 10)
         if (timeout) obj.timeout = parseInt(timeout, 10)
+        if (dimensions) obj.dimensions = parseInt(dimensions, 10)
 
         const model = new OpenAIEmbeddings(obj, { basePath })
         return model

packages/components/nodes/embeddings/OpenAIEmbeddingCustom/OpenAIEmbeddingCustom.ts

@@ -17,7 +17,7 @@ class OpenAIEmbeddingCustom_Embeddings implements INode {
     constructor() {
         this.label = 'OpenAI Embeddings Custom'
         this.name = 'openAIEmbeddingsCustom'
-        this.version = 1.0
+        this.version = 2.0
         this.type = 'OpenAIEmbeddingsCustom'
         this.icon = 'openai.svg'
         this.category = 'Embeddings'
@@ -63,6 +63,13 @@ class OpenAIEmbeddingCustom_Embeddings implements INode {
                 name: 'modelName',
                 type: 'string',
                 optional: true
+            },
+            {
+                label: 'Dimensions',
+                name: 'dimensions',
+                type: 'number',
+                optional: true,
+                additionalParams: true
             }
         ]
     }
@@ -73,6 +80,7 @@ class OpenAIEmbeddingCustom_Embeddings implements INode {
         const timeout = nodeData.inputs?.timeout as string
         const basePath = nodeData.inputs?.basepath as string
         const modelName = nodeData.inputs?.modelName as string
+        const dimensions = nodeData.inputs?.dimensions as string
 
         const credentialData = await getCredentialData(nodeData.credential ?? '', options)
         const openAIApiKey = getCredentialParam('openAIApiKey', credentialData, nodeData)
@@ -85,6 +93,7 @@ class OpenAIEmbeddingCustom_Embeddings implements INode {
         if (batchSize) obj.batchSize = parseInt(batchSize, 10)
         if (timeout) obj.timeout = parseInt(timeout, 10)
         if (modelName) obj.modelName = modelName
+        if (dimensions) obj.dimensions = parseInt(dimensions, 10)
 
         const model = new OpenAIEmbeddings(obj, { basePath })
         return model