add mongodb atlas

packages/components/nodes/vectorstores/MongoDBAtlas/MongoDBAtlas.ts

@@ -0,0 +1,194 @@
+import { flatten } from 'lodash'
+import { MongoClient } from 'mongodb'
+import { MongoDBAtlasVectorSearch } from 'langchain/vectorstores/mongodb_atlas'
+import { Embeddings } from 'langchain/embeddings/base'
+import { Document } from 'langchain/document'
+import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
+import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
+
+class MongoDBAtlas_VectorStores implements INode {
+    label: string
+    name: string
+    version: number
+    description: string
+    type: string
+    icon: string
+    category: string
+    badge: string
+    baseClasses: string[]
+    inputs: INodeParams[]
+    credential: INodeParams
+    outputs: INodeOutputsValue[]
+
+    constructor() {
+        this.label = 'MongoDB Atlas'
+        this.name = 'mongoDBAtlas'
+        this.version = 1.0
+        this.description = `Upsert embedded data and perform similarity search upon query using MongoDB Atlas, a managed cloud mongodb database`
+        this.type = 'MongoDB Atlas'
+        this.icon = 'mongodb.png'
+        this.category = 'Vector Stores'
+        this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever']
+        this.badge = 'NEW'
+        this.credential = {
+            label: 'Connect Credential',
+            name: 'credential',
+            type: 'credential',
+            credentialNames: ['mongoDBUrlApi']
+        }
+        this.inputs = [
+            {
+                label: 'Document',
+                name: 'document',
+                type: 'Document',
+                list: true,
+                optional: true
+            },
+            {
+                label: 'Embeddings',
+                name: 'embeddings',
+                type: 'Embeddings'
+            },
+            {
+                label: 'Database',
+                name: 'databaseName',
+                placeholder: '<DB_NAME>',
+                type: 'string'
+            },
+            {
+                label: 'Collection Name',
+                name: 'collectionName',
+                placeholder: '<COLLECTION_NAME>',
+                type: 'string'
+            },
+            {
+                label: 'Index Name',
+                name: 'indexName',
+                placeholder: '<VECTOR_INDEX_NAME>',
+                type: 'string'
+            },
+            {
+                label: 'Content Field',
+                name: 'textKey',
+                description: 'Name of the field (column) that contains the actual content',
+                type: 'string',
+                default: 'text',
+                additionalParams: true,
+                optional: true
+            },
+            {
+                label: 'Embedded Field',
+                name: 'embeddingKey',
+                description: 'Name of the field (column) that contains the Embedding',
+                type: 'string',
+                default: 'embedding',
+                additionalParams: true,
+                optional: true
+            },
+            {
+                label: 'Top K',
+                name: 'topK',
+                description: 'Number of top results to fetch. Default to 4',
+                placeholder: '4',
+                type: 'number',
+                additionalParams: true,
+                optional: true
+            }
+        ]
+        this.outputs = [
+            {
+                label: 'MongoDB Retriever',
+                name: 'retriever',
+                baseClasses: this.baseClasses
+            },
+            {
+                label: 'MongoDB Vector Store',
+                name: 'vectorStore',
+                baseClasses: [this.type, ...getBaseClasses(MongoDBAtlasVectorSearch)]
+            }
+        ]
+    }
+
+    //@ts-ignore
+    vectorStoreMethods = {
+        async upsert(nodeData: INodeData, options: ICommonObject): Promise<void> {
+            const credentialData = await getCredentialData(nodeData.credential ?? '', options)
+            const databaseName = nodeData.inputs?.databaseName as string
+            const collectionName = nodeData.inputs?.collectionName as string
+            const indexName = nodeData.inputs?.indexName as string
+            let textKey = nodeData.inputs?.textKey as string
+            let embeddingKey = nodeData.inputs?.embeddingKey as string
+            const embeddings = nodeData.inputs?.embeddings as Embeddings
+
+            let mongoDBConnectUrl = getCredentialParam('mongoDBConnectUrl', credentialData, nodeData)
+
+            const docs = nodeData.inputs?.document as Document[]
+
+            const flattenDocs = docs && docs.length ? flatten(docs) : []
+            const finalDocs = []
+            for (let i = 0; i < flattenDocs.length; i += 1) {
+                if (flattenDocs[i] && flattenDocs[i].pageContent) {
+                    const document = new Document(flattenDocs[i])
+                    finalDocs.push(document)
+                }
+            }
+
+            const mongoClient = new MongoClient(mongoDBConnectUrl)
+            const collection = mongoClient.db(databaseName).collection(collectionName)
+
+            if (!textKey || textKey === '') textKey = 'text'
+            if (!embeddingKey || embeddingKey === '') embeddingKey = 'embedding'
+
+            const mongoDBAtlasVectorSearch = new MongoDBAtlasVectorSearch(embeddings, {
+                collection,
+                indexName,
+                textKey,
+                embeddingKey
+            })
+
+            try {
+                await mongoDBAtlasVectorSearch.addDocuments(finalDocs)
+            } catch (e) {
+                throw new Error(e)
+            }
+        }
+    }
+
+    async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
+        const credentialData = await getCredentialData(nodeData.credential ?? '', options)
+        const databaseName = nodeData.inputs?.databaseName as string
+        const collectionName = nodeData.inputs?.collectionName as string
+        const indexName = nodeData.inputs?.indexName as string
+        let textKey = nodeData.inputs?.textKey as string
+        let embeddingKey = nodeData.inputs?.embeddingKey as string
+        const embeddings = nodeData.inputs?.embeddings as Embeddings
+        const topK = nodeData.inputs?.topK as string
+        const k = topK ? parseFloat(topK) : 4
+        const output = nodeData.outputs?.output as string
+
+        let mongoDBConnectUrl = getCredentialParam('mongoDBConnectUrl', credentialData, nodeData)
+
+        const mongoClient = new MongoClient(mongoDBConnectUrl)
+        const collection = mongoClient.db(databaseName).collection(collectionName)
+
+        if (!textKey || textKey === '') textKey = 'text'
+        if (!embeddingKey || embeddingKey === '') embeddingKey = 'embedding'
+
+        const vectorStore = new MongoDBAtlasVectorSearch(embeddings, {
+            collection,
+            indexName,
+            textKey,
+            embeddingKey
+        })
+
+        if (output === 'retriever') {
+            return vectorStore.asRetriever(k)
+        } else if (output === 'vectorStore') {
+            ;(vectorStore as any).k = k
+            return vectorStore
+        }
+        return vectorStore
+    }
+}
+
+module.exports = { nodeClass: MongoDBAtlas_VectorStores }

packages/components/nodes/vectorstores/MongoDBAtlas/MongoDBSearchBase.ts

@@ -22,6 +22,7 @@ export abstract class MongoDBSearchBase {
     type: string
     icon: string
     category: string
+    badge: string
     baseClasses: string[]
     inputs: INodeParams[]
     credential: INodeParams
@@ -33,6 +34,7 @@ export abstract class MongoDBSearchBase {
         this.icon = 'mongodb.png'
         this.category = 'Vector Stores'
         this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever']
+        this.badge = 'DEPRECATING'
         this.credential = {
             label: 'Connect Credential',
             name: 'credential',

packages/components/nodes/vectorstores/MongoDBAtlas/MongoDB_Upsert.ts

@@ -10,7 +10,7 @@ import { MongoDBSearchBase } from './MongoDBSearchBase'
 class MongoDBUpsert_VectorStores extends MongoDBSearchBase implements INode {
     constructor() {
         super()
-        this.label = 'MongoDB Upsert Document'
+        this.label = 'MongoDB Atlas Upsert Document'
         this.name = 'MongoDBUpsert'
         this.version = 1.0
         this.description = 'Upsert documents to MongoDB Atlas'