feat: Add AI tool building capabilities (#7336)

Github issue / Community forum post (link here to close automatically):
https://community.n8n.io/t/langchain-memory-chat/23733

---------

Signed-off-by: Oleg Ivaniv <me@olegivaniv.com>
Co-authored-by: Oleg Ivaniv <me@olegivaniv.com>
Co-authored-by: Val <68596159+valya@users.noreply.github.com>
Co-authored-by: Alex Grozav <alex@grozav.com>
Co-authored-by: कारतोफ्फेलस्क्रिप्ट™ <aditya@netroy.in>
Co-authored-by: Deborah <deborah@starfallprojects.co.uk>
Co-authored-by: Jesper Bylund <mail@jesperbylund.com>
Co-authored-by: Jon <jonathan.bennetts@gmail.com>
Co-authored-by: Michael Kret <88898367+michael-radency@users.noreply.github.com>
Co-authored-by: Giulio Andreini <andreini@netseven.it>
Co-authored-by: Mason Geloso <Mason.geloso@gmail.com>
Co-authored-by: Mason Geloso <hone@Masons-Mac-mini.local>
Co-authored-by: Mutasem Aldmour <mutasem@n8n.io>

packages/@n8n/nodes-langchain/nodes/embeddings/EmbeddingsTensorFlow/EmbeddingsTensorFlow.node.ts

@@ -0,0 +1,64 @@
+/* eslint-disable n8n-nodes-base/node-dirname-against-convention */
+import {
+	NodeConnectionType,
+	type IExecuteFunctions,
+	type INodeType,
+	type INodeTypeDescription,
+	type SupplyData,
+} from 'n8n-workflow';
+import '@tensorflow/tfjs-backend-cpu';
+import { TensorFlowEmbeddings } from 'langchain/embeddings/tensorflow';
+import { logWrapper } from '../../../utils/logWrapper';
+import { getConnectionHintNoticeField } from '../../../utils/sharedFields';
+
+export class EmbeddingsTensorFlow implements INodeType {
+	description: INodeTypeDescription = {
+		displayName: 'Embeddings TensorFlow',
+		name: 'embeddingsTensorFlow',
+		icon: 'file:tensorflow.svg',
+		group: ['transform'],
+		version: 1,
+		description: 'Use Embeddings TensorFlow',
+		defaults: {
+			name: 'Embeddings TensorFlow',
+		},
+
+		codex: {
+			categories: ['AI'],
+			subcategories: {
+				AI: ['Embeddings'],
+			},
+			resources: {
+				primaryDocumentation: [
+					{
+						url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.embeddingstensorflow/',
+					},
+				],
+			},
+		},
+		// eslint-disable-next-line n8n-nodes-base/node-class-description-inputs-wrong-regular-node
+		inputs: [],
+		// eslint-disable-next-line n8n-nodes-base/node-class-description-outputs-wrong
+		outputs: [NodeConnectionType.AiEmbedding],
+		outputNames: ['Embeddings'],
+		properties: [
+			getConnectionHintNoticeField([NodeConnectionType.AiVectorStore]),
+			{
+				displayName:
+					'The TensorFlow model we use for generating embeddings is using 512-dimensional embeddings. Please make sure to use the same dimensionality for your vector store. Be aware that running this model with high-dimensional embeddings may result in high CPU usage on the machine.',
+				name: 'notice',
+				type: 'notice',
+				default: '',
+			},
+		],
+	};
+
+	async supplyData(this: IExecuteFunctions): Promise<SupplyData> {
+		this.logger.verbose('Supply data for embeddings tensorflow');
+		const embeddings = new TensorFlowEmbeddings({ maxConcurrency: Infinity });
+
+		return {
+			response: logWrapper(embeddings, this),
+		};
+	}
+}