MongoDB Atlas Integration - Chat Memory and Vector Store

packages/components/credentials/MongoDBUrlApi.credential.ts

@@ -0,0 +1,25 @@
+import { INodeParams, INodeCredential } from '../src/Interface'
+
+class MongoDBUrlApi implements INodeCredential {
+    label: string
+    name: string
+    version: number
+    description: string
+    inputs: INodeParams[]
+
+    constructor() {
+        this.label = 'MongoDB ATLAS'
+        this.name = 'mongoDBUrlApi'
+        this.version = 1.0
+        this.inputs = [
+            {
+                label: 'ATLAS Connection URL',
+                name: 'mongoDBConnectUrl',
+                type: 'string',
+                placeholder: 'mongodb+srv://myDatabaseUser:D1fficultP%40ssw0rd@cluster0.example.mongodb.net/?retryWrites=true&w=majority'
+            }
+        ]
+    }
+}
+
+module.exports = { credClass: MongoDBUrlApi }

packages/components/nodes/memory/MongoDBMemory/MongoDBMemory.ts

@@ -0,0 +1,146 @@
+import { getBaseClasses, getCredentialData, getCredentialParam, ICommonObject, INode, INodeData, INodeParams } from '../../../src'
+import { MongoDBChatMessageHistory } from 'langchain/stores/message/mongodb'
+import { BufferMemory, BufferMemoryInput } from 'langchain/memory'
+import { BaseMessage, mapStoredMessageToChatMessage } from 'langchain/schema'
+import { MongoClient } from 'mongodb'
+
+class MongoDB_Memory implements INode {
+    label: string
+    name: string
+    version: number
+    description: string
+    type: string
+    icon: string
+    category: string
+    baseClasses: string[]
+    credential: INodeParams
+    inputs: INodeParams[]
+
+    constructor() {
+        this.label = 'MongoDB Atlas Chat Memory'
+        this.name = 'MongoDBAtlasChatMemory'
+        this.version = 1.0
+        this.type = 'MongoDBAtlasChatMemory'
+        this.icon = 'mongodb.png'
+        this.category = 'Memory'
+        this.description = 'Stores the conversation in MongoDB Atlas'
+        this.baseClasses = [this.type, ...getBaseClasses(BufferMemory)]
+        this.credential = {
+            label: 'Connect Credential',
+            name: 'credential',
+            type: 'credential',
+            credentialNames: ['mongoDBUrlApi']
+        }
+        this.inputs = [
+            {
+                label: 'Database',
+                name: 'databaseName',
+                placeholder: '<DB_NAME>',
+                type: 'string'
+            },
+            {
+                label: 'Collection Name',
+                name: 'collectionName',
+                placeholder: '<COLLECTION_NAME>',
+                type: 'string'
+            },
+            {
+                label: 'Session Id',
+                name: 'sessionId',
+                type: 'string',
+                description: 'If not specified, the first CHAT_MESSAGE_ID will be used as sessionId',
+                default: '',
+                additionalParams: true,
+                optional: true
+            },
+            {
+                label: 'Memory Key',
+                name: 'memoryKey',
+                type: 'string',
+                default: 'chat_history',
+                additionalParams: true
+            }
+        ]
+    }
+
+    async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
+        return initializeMongoDB(nodeData, options)
+    }
+
+    async clearSessionMemory(nodeData: INodeData, options: ICommonObject): Promise<void> {
+        const mongodbMemory = await initializeMongoDB(nodeData, options)
+        const sessionId = nodeData.inputs?.sessionId as string
+        const chatId = options?.chatId as string
+        options.logger.info(`Clearing MongoDB memory session ${sessionId ? sessionId : chatId}`)
+        await mongodbMemory.clear()
+        options.logger.info(`Successfully cleared MongoDB memory session ${sessionId ? sessionId : chatId}`)
+    }
+}
+
+const initializeMongoDB = async (nodeData: INodeData, options: ICommonObject): Promise<BufferMemory> => {
+    const databaseName = nodeData.inputs?.databaseName as string
+    const collectionName = nodeData.inputs?.collectionName as string
+    const sessionId = nodeData.inputs?.sessionId as string
+    const memoryKey = nodeData.inputs?.memoryKey as string
+    const chatId = options?.chatId as string
+
+    let isSessionIdUsingChatMessageId = false
+    if (!sessionId && chatId) isSessionIdUsingChatMessageId = true
+
+    const credentialData = await getCredentialData(nodeData.credential ?? '', options)
+    let mongoDBConnectUrl = getCredentialParam('mongoDBConnectUrl', credentialData, nodeData)
+
+    const client = new MongoClient(mongoDBConnectUrl)
+    await client.connect()
+    const collection = client.db(databaseName).collection(collectionName)
+
+    const mongoDBChatMessageHistory = new MongoDBChatMessageHistory({
+        collection,
+        sessionId: sessionId ? sessionId : chatId
+    })
+
+    mongoDBChatMessageHistory.getMessages = async (): Promise<BaseMessage[]> => {
+        const document = await collection.findOne({
+            sessionId: (mongoDBChatMessageHistory as any).sessionId
+        })
+        const messages = document?.messages || []
+        return messages.map(mapStoredMessageToChatMessage)
+    }
+
+    mongoDBChatMessageHistory.addMessage = async (message: BaseMessage): Promise<void> => {
+        const messages = [message].map((msg) => msg.toDict())
+        await collection.updateOne(
+            { sessionId: (mongoDBChatMessageHistory as any).sessionId },
+            {
+                $push: { messages: { $each: messages } }
+            },
+            { upsert: true }
+        )
+    }
+
+    mongoDBChatMessageHistory.clear = async (): Promise<void> => {
+        await collection.deleteOne({ sessionId: (mongoDBChatMessageHistory as any).sessionId })
+    }
+
+    return new BufferMemoryExtended({
+        memoryKey,
+        chatHistory: mongoDBChatMessageHistory,
+        returnMessages: true,
+        isSessionIdUsingChatMessageId
+    })
+}
+
+interface BufferMemoryExtendedInput {
+    isSessionIdUsingChatMessageId: boolean
+}
+
+class BufferMemoryExtended extends BufferMemory {
+    isSessionIdUsingChatMessageId? = false
+
+    constructor(fields: BufferMemoryInput & Partial<BufferMemoryExtendedInput>) {
+        super(fields)
+        this.isSessionIdUsingChatMessageId = fields.isSessionIdUsingChatMessageId
+    }
+}
+
+module.exports = { nodeClass: MongoDB_Memory }

packages/components/nodes/vectorstores/Elasticsearch/Elasticsearch_Upsert.ts

@@ -50,7 +50,7 @@ class ElasicsearchUpsert_VectorStores extends ElasticSearchBase implements INode
             delete d.metadata.loc
         })
         // end of workaround
-        return super.init(nodeData, _, options, flattenDocs)
+        return super.init(nodeData, _, options, finalDocs)
     }
 }
 

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

@@ -0,0 +1,145 @@
+import {
+    getBaseClasses,
+    getCredentialData,
+    getCredentialParam,
+    ICommonObject,
+    INodeData,
+    INodeOutputsValue,
+    INodeParams
+} from '../../../src'
+
+import { Embeddings } from 'langchain/embeddings/base'
+import { VectorStore } from 'langchain/vectorstores/base'
+import { Document } from 'langchain/document'
+import { MongoDBAtlasVectorSearch } from 'langchain/vectorstores/mongodb_atlas'
+import { Collection, MongoClient } from 'mongodb'
+
+export abstract class MongoDBSearchBase {
+    label: string
+    name: string
+    version: number
+    description: string
+    type: string
+    icon: string
+    category: string
+    baseClasses: string[]
+    inputs: INodeParams[]
+    credential: INodeParams
+    outputs: INodeOutputsValue[]
+    mongoClient: MongoClient
+
+    protected constructor() {
+        this.type = 'MongoDB Atlas'
+        this.icon = 'mongodb.png'
+        this.category = 'Vector Stores'
+        this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever']
+        this.credential = {
+            label: 'Connect Credential',
+            name: 'credential',
+            type: 'credential',
+            credentialNames: ['mongoDBUrlApi']
+        }
+        this.inputs = [
+            {
+                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)]
+            }
+        ]
+    }
+
+    abstract constructVectorStore(
+        embeddings: Embeddings,
+        collection: Collection,
+        indexName: string,
+        textKey: string,
+        embeddingKey: string,
+        docs: Document<Record<string, any>>[] | undefined
+    ): Promise<VectorStore>
+
+    async init(nodeData: INodeData, _: string, options: ICommonObject, docs: Document<Record<string, any>>[] | undefined): 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)
+
+        this.mongoClient = new MongoClient(mongoDBConnectUrl)
+        const collection = this.mongoClient.db(databaseName).collection(collectionName)
+        if (!textKey || textKey === '') textKey = 'text'
+        if (!embeddingKey || embeddingKey === '') embeddingKey = 'embedding'
+        const vectorStore = await this.constructVectorStore(embeddings, collection, indexName, textKey, embeddingKey, docs)
+
+        if (output === 'retriever') {
+            return vectorStore.asRetriever(k)
+        } else if (output === 'vectorStore') {
+            ;(vectorStore as any).k = k
+            return vectorStore
+        }
+        return vectorStore
+    }
+}

packages/components/nodes/vectorstores/MongoDB/MongoDB_Existing.ts

@@ -0,0 +1,39 @@
+import { Collection } from 'mongodb'
+import { MongoDBAtlasVectorSearch } from 'langchain/vectorstores/mongodb_atlas'
+import { Embeddings } from 'langchain/embeddings/base'
+import { VectorStore } from 'langchain/vectorstores/base'
+import { Document } from 'langchain/document'
+import { MongoDBSearchBase } from './MongoDBSearchBase'
+import { ICommonObject, INode, INodeData } from '../../../src/Interface'
+
+class MongoDBExisting_VectorStores extends MongoDBSearchBase implements INode {
+    constructor() {
+        super()
+        this.label = 'MongoDB Atlas Load Existing Index'
+        this.name = 'MongoDBIndex'
+        this.version = 1.0
+        this.description = 'Load existing data from MongoDB Atlas (i.e: Document has been upserted)'
+    }
+
+    async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
+        return super.init(nodeData, _, options, undefined)
+    }
+
+    async constructVectorStore(
+        embeddings: Embeddings,
+        collection: Collection,
+        indexName: string,
+        textKey: string,
+        embeddingKey: string,
+        _: Document<Record<string, any>>[] | undefined
+    ): Promise<VectorStore> {
+        return new MongoDBAtlasVectorSearch(embeddings, {
+            collection: collection,
+            indexName: indexName,
+            textKey: textKey,
+            embeddingKey: embeddingKey
+        })
+    }
+}
+
+module.exports = { nodeClass: MongoDBExisting_VectorStores }