Add more nodes for agents, loaders

packages/components/nodes/vectorstores/Pinecone_Existing/Pinecone_Existing.ts

@@ -0,0 +1,73 @@
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+import { PineconeClient } from '@pinecone-database/pinecone'
+
+class Pinecone_Existing_VectorStores implements INode {
+    label: string
+    name: string
+    description: string
+    type: string
+    icon: string
+    category: string
+    baseClasses: string[]
+    inputs: INodeParams[]
+
+    constructor() {
+        this.label = 'Pinecone Load Existing Index'
+        this.name = 'pineconeExistingIndex'
+        this.type = 'Pinecone'
+        this.icon = 'pinecone.png'
+        this.category = 'Vector Stores'
+        this.description = 'Load existing index from Pinecone (i.e: Document has been upserted)'
+        this.inputs = [
+            {
+                label: 'Embeddings',
+                name: 'embeddings',
+                type: 'Embeddings'
+            },
+            {
+                label: 'Pinecone Api Key',
+                name: 'pineconeApiKey',
+                type: 'password'
+            },
+            {
+                label: 'Pinecone Environment',
+                name: 'pineconeEnv',
+                type: 'string'
+            },
+            {
+                label: 'Pinecone Index',
+                name: 'pineconeIndex',
+                type: 'string'
+            }
+        ]
+    }
+
+    async getBaseClasses(): Promise<string[]> {
+        return ['BaseRetriever']
+    }
+
+    async init(nodeData: INodeData): Promise<any> {
+        const { PineconeStore } = await import('langchain/vectorstores')
+
+        const pineconeApiKey = nodeData.inputs?.pineconeApiKey as string
+        const pineconeEnv = nodeData.inputs?.pineconeEnv as string
+        const index = nodeData.inputs?.pineconeIndex as string
+        const embeddings = nodeData.inputs?.embeddings
+
+        const client = new PineconeClient()
+        await client.init({
+            apiKey: pineconeApiKey,
+            environment: pineconeEnv
+        })
+
+        const pineconeIndex = client.Index(index)
+
+        const vectorStore = await PineconeStore.fromExistingIndex(embeddings, {
+            pineconeIndex
+        })
+        const retriever = vectorStore.asRetriever()
+        return retriever
+    }
+}
+
+module.exports = { nodeClass: Pinecone_Existing_VectorStores }