Add more nodes for agents, loaders

2026-06-28 15:00:57 +03:00 · 2023-04-10 13:56:44 +01:00
parent 05c86ff9c5
commit 58e06718d1
57 changed files with 1584 additions and 89 deletions
@@ -0,0 +1,52 @@
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+
+class Chroma_Existing_VectorStores implements INode {
+    label: string
+    name: string
+    description: string
+    type: string
+    icon: string
+    category: string
+    baseClasses: string[]
+    inputs: INodeParams[]
+
+    constructor() {
+        this.label = 'Chroma Load Existing Index'
+        this.name = 'chromaExistingIndex'
+        this.type = 'Chroma'
+        this.icon = 'chroma.svg'
+        this.category = 'Vector Stores'
+        this.description = 'Load existing index from Chroma (i.e: Document has been upserted)'
+        this.inputs = [
+            {
+                label: 'Embeddings',
+                name: 'embeddings',
+                type: 'Embeddings'
+            },
+            {
+                label: 'Collection Name',
+                name: 'collectionName',
+                type: 'string'
+            }
+        ]
+    }
+
+    async getBaseClasses(): Promise<string[]> {
+        return ['BaseRetriever']
+    }
+
+    async init(nodeData: INodeData): Promise<any> {
+        const { Chroma } = await import('langchain/vectorstores')
+
+        const collectionName = nodeData.inputs?.collectionName as string
+        const embeddings = nodeData.inputs?.embeddings
+
+        const vectorStore = await Chroma.fromExistingCollection(embeddings, {
+            collectionName
+        })
+        const retriever = vectorStore.asRetriever()
+        return retriever
+    }
+}
+
+module.exports = { nodeClass: Chroma_Existing_VectorStores }
@@ -0,0 +1,7 @@
+<svg width="209" height="135" viewBox="0 0 209 135" fill="none" xmlns="http://www.w3.org/2000/svg">
+<ellipse cx="136.019" cy="67.2304" rx="66.6667" ry="64" fill="#FFDE2D"/>
+<ellipse cx="69.352" cy="67.2304" rx="66.6667" ry="64" fill="#327EFF"/>
+<path d="M2.68528 67.2304C2.68527 31.8842 32.5329 3.23047 69.3519 3.23047L69.3519 67.2304L2.68528 67.2304Z" fill="#327EFF"/>
+<path d="M136.019 67.2305C136.019 102.577 106.171 131.23 69.3519 131.23L69.3519 67.2305L136.019 67.2305Z" fill="#FF6446"/>
+<path d="M69.352 67.2304C69.352 31.8842 99.1997 3.23047 136.019 3.23047L136.019 67.2304L69.352 67.2304Z" fill="#FF6446"/>
+</svg>
@@ -0,0 +1,65 @@
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+
+class ChromaUpsert_VectorStores implements INode {
+    label: string
+    name: string
+    description: string
+    type: string
+    icon: string
+    category: string
+    baseClasses: string[]
+    inputs: INodeParams[]
+
+    constructor() {
+        this.label = 'Chroma Upsert Document'
+        this.name = 'chromaUpsert'
+        this.type = 'Chroma'
+        this.icon = 'chroma.svg'
+        this.category = 'Vector Stores'
+        this.description = 'Upsert documents to Chroma'
+        this.inputs = [
+            {
+                label: 'Document',
+                name: 'document',
+                type: 'Document'
+            },
+            {
+                label: 'Embeddings',
+                name: 'embeddings',
+                type: 'Embeddings'
+            },
+            {
+                label: 'Collection Name',
+                name: 'collectionName',
+                type: 'string'
+            }
+        ]
+    }
+
+    async getBaseClasses(): Promise<string[]> {
+        return ['BaseRetriever']
+    }
+
+    async init(nodeData: INodeData): Promise<any> {
+        const { Chroma } = await import('langchain/vectorstores')
+        const { Document } = await import('langchain/document')
+
+        const collectionName = nodeData.inputs?.collectionName as string
+        const docs = nodeData.inputs?.document
+        const embeddings = nodeData.inputs?.embeddings
+
+        const finalDocs = []
+        for (let i = 0; i < docs.length; i += 1) {
+            finalDocs.push(new Document(docs[i]))
+        }
+
+        const result = await Chroma.fromDocuments(finalDocs, embeddings, {
+            collectionName
+        })
+
+        const retriever = result.asRetriever()
+        return retriever
+    }
+}
+
+module.exports = { nodeClass: ChromaUpsert_VectorStores }
@@ -0,0 +1,7 @@
+<svg width="209" height="135" viewBox="0 0 209 135" fill="none" xmlns="http://www.w3.org/2000/svg">
+<ellipse cx="136.019" cy="67.2304" rx="66.6667" ry="64" fill="#FFDE2D"/>
+<ellipse cx="69.352" cy="67.2304" rx="66.6667" ry="64" fill="#327EFF"/>
+<path d="M2.68528 67.2304C2.68527 31.8842 32.5329 3.23047 69.3519 3.23047L69.3519 67.2304L2.68528 67.2304Z" fill="#327EFF"/>
+<path d="M136.019 67.2305C136.019 102.577 106.171 131.23 69.3519 131.23L69.3519 67.2305L136.019 67.2305Z" fill="#FF6446"/>
+<path d="M69.352 67.2304C69.352 31.8842 99.1997 3.23047 136.019 3.23047L136.019 67.2304L69.352 67.2304Z" fill="#FF6446"/>
+</svg>
@@ -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 }
@@ -0,0 +1,86 @@
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+import { PineconeClient } from '@pinecone-database/pinecone'
+
+class PineconeUpsert_VectorStores implements INode {
+    label: string
+    name: string
+    description: string
+    type: string
+    icon: string
+    category: string
+    baseClasses: string[]
+    inputs: INodeParams[]
+
+    constructor() {
+        this.label = 'Pinecone Upsert Document'
+        this.name = 'pineconeUpsert'
+        this.type = 'Pinecone'
+        this.icon = 'pinecone.png'
+        this.category = 'Vector Stores'
+        this.description = 'Upsert documents to Pinecone'
+        this.inputs = [
+            {
+                label: 'Document',
+                name: 'document',
+                type: 'Document'
+            },
+            {
+                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 { Document } = await import('langchain/document')
+
+        const pineconeApiKey = nodeData.inputs?.pineconeApiKey as string
+        const pineconeEnv = nodeData.inputs?.pineconeEnv as string
+        const index = nodeData.inputs?.pineconeIndex as string
+        const docs = nodeData.inputs?.document
+        const embeddings = nodeData.inputs?.embeddings
+
+        const client = new PineconeClient()
+        await client.init({
+            apiKey: pineconeApiKey,
+            environment: pineconeEnv
+        })
+
+        const pineconeIndex = client.Index(index)
+
+        const finalDocs = []
+        for (let i = 0; i < docs.length; i += 1) {
+            finalDocs.push(new Document(docs[i]))
+        }
+
+        const result = await PineconeStore.fromDocuments(finalDocs, embeddings, {
+            pineconeIndex
+        })
+
+        const retriever = result.asRetriever()
+        return retriever
+    }
+}
+
+module.exports = { nodeClass: PineconeUpsert_VectorStores }