diff --git a/packages/components/credentials/ElasticsearchAPI.credential.ts b/packages/components/credentials/ElasticsearchAPI.credential.ts
new file mode 100644
index 000000000..e377243d4
--- /dev/null
+++ b/packages/components/credentials/ElasticsearchAPI.credential.ts
@@ -0,0 +1,31 @@
+import { INodeParams, INodeCredential } from '../src/Interface'
+
+class ElectricsearchAPI implements INodeCredential {
+ label: string
+ name: string
+ version: number
+ description: string
+ inputs: INodeParams[]
+
+ constructor() {
+ this.label = 'Elasticsearch API'
+ this.name = 'elasticsearchApi'
+ this.version = 1.0
+ this.description =
+ 'Refer to official guide on how to get an API Key from ElasticSearch'
+ this.inputs = [
+ {
+ label: 'Elasticsearch Endpoint',
+ name: 'endpoint',
+ type: 'string'
+ },
+ {
+ label: 'Elasticsearch API ID',
+ name: 'apiKey',
+ type: 'password'
+ }
+ ]
+ }
+}
+
+module.exports = { credClass: ElectricsearchAPI }
diff --git a/packages/components/credentials/ElectricsearchUserPassword.credential.ts b/packages/components/credentials/ElectricsearchUserPassword.credential.ts
new file mode 100644
index 000000000..2dd889373
--- /dev/null
+++ b/packages/components/credentials/ElectricsearchUserPassword.credential.ts
@@ -0,0 +1,31 @@
+import { INodeParams, INodeCredential } from '../src/Interface'
+
+class ElasticSearchUserPassword implements INodeCredential {
+ label: string
+ name: string
+ version: number
+ description: string
+ inputs: INodeParams[]
+
+ constructor() {
+ this.label = 'ElasticSearch User Password'
+ this.name = 'elasticSearchUserPassword'
+ this.version = 1.0
+ this.description =
+ 'Refer to official guide on how to get User Password from ElasticSearch'
+ this.inputs = [
+ {
+ label: 'ElasticSearch User',
+ name: 'elasticSearchUser',
+ type: 'string'
+ },
+ {
+ label: 'ElasticSearch Password',
+ name: 'elasticSearchPassword',
+ type: 'password'
+ }
+ ]
+ }
+}
+
+module.exports = { credClass: ElasticSearchUserPassword }
diff --git a/packages/components/nodes/vectorstores/Elasticsearch/Elasticsearch_Existing.ts b/packages/components/nodes/vectorstores/Elasticsearch/Elasticsearch_Existing.ts
new file mode 100644
index 000000000..6e785c857
--- /dev/null
+++ b/packages/components/nodes/vectorstores/Elasticsearch/Elasticsearch_Existing.ts
@@ -0,0 +1,111 @@
+import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
+import { Embeddings } from 'langchain/embeddings/base'
+import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src'
+
+import { Client, ClientOptions } from '@elastic/elasticsearch'
+import { ElasticClientArgs, ElasticVectorSearch } from 'langchain/vectorstores/elasticsearch'
+
+class ElasicsearchExisting_VectorStores implements INode {
+ label: string
+ name: string
+ version: number
+ description: string
+ type: string
+ icon: string
+ category: string
+ baseClasses: string[]
+ inputs: INodeParams[]
+ credential: INodeParams
+ outputs: INodeOutputsValue[]
+
+ constructor() {
+ this.label = 'Elasticsearch Load Existing Index'
+ this.name = 'ElasticsearchIndex'
+ this.version = 1.0
+ this.type = 'Elasticsearch'
+ this.icon = 'elasticsearch.png'
+ this.category = 'Vector Stores'
+ this.description = 'Load existing index from Elasticsearch (i.e: Document has been upserted)'
+ this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever']
+ this.credential = {
+ label: 'Connect Credential',
+ name: 'credential',
+ type: 'credential',
+ credentialNames: ['elasticsearchApi', 'elasticSearchUserPassword']
+ }
+ this.inputs = [
+ {
+ label: 'Embeddings',
+ name: 'embeddings',
+ type: 'Embeddings'
+ },
+ {
+ label: 'Index Name',
+ name: 'indexName',
+ placeholder: '',
+ type: 'string'
+ },
+ {
+ 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: 'Elasticsearch Retriever',
+ name: 'retriever',
+ baseClasses: this.baseClasses
+ },
+ {
+ label: 'Elasticsearch Vector Store',
+ name: 'vectorStore',
+ baseClasses: [this.type, ...getBaseClasses(ElasticVectorSearch)]
+ }
+ ]
+ }
+
+ async init(nodeData: INodeData, _: string, options: ICommonObject): Promise {
+ const credentialData = await getCredentialData(nodeData.credential ?? '', options)
+ const endPoint = getCredentialParam('endpoint', credentialData, nodeData)
+ const apiKey = getCredentialParam('apiKey', credentialData, nodeData)
+ const indexName = nodeData.inputs?.indexName 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
+
+ // eslint-disable-next-line no-console
+ console.log('EndPoint:: ' + endPoint + ', APIKey:: ' + apiKey + ', Index:: ' + indexName)
+
+ const elasticSearchClientOptions: ClientOptions = {
+ node: endPoint,
+ auth: {
+ apiKey: apiKey
+ }
+ }
+
+ const elasticSearchClientArgs: ElasticClientArgs = {
+ client: new Client(elasticSearchClientOptions),
+ indexName: indexName
+ }
+
+ const vectorStore = await ElasticVectorSearch.fromExistingIndex(embeddings, elasticSearchClientArgs)
+ // eslint-disable-next-line no-console
+ console.log('vectorStore ::' + vectorStore._vectorstoreType())
+ if (output === 'retriever') {
+ return vectorStore.asRetriever(k)
+ } else if (output === 'vectorStore') {
+ ;(vectorStore as any).k = k
+ return vectorStore
+ }
+ return vectorStore
+ }
+}
+
+module.exports = { nodeClass: ElasicsearchExisting_VectorStores }
diff --git a/packages/components/nodes/vectorstores/Elasticsearch/Elasticsearch_Upsert.ts b/packages/components/nodes/vectorstores/Elasticsearch/Elasticsearch_Upsert.ts
new file mode 100644
index 000000000..5a0065d54
--- /dev/null
+++ b/packages/components/nodes/vectorstores/Elasticsearch/Elasticsearch_Upsert.ts
@@ -0,0 +1,165 @@
+import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
+import { Embeddings } from 'langchain/embeddings/base'
+import { Document } from 'langchain/document'
+import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src'
+
+import { Client, ClientOptions } from '@elastic/elasticsearch'
+import { ElasticClientArgs, ElasticVectorSearch } from 'langchain/vectorstores/elasticsearch'
+import { flatten } from 'lodash'
+
+class ElasicsearchUpsert_VectorStores implements INode {
+ label: string
+ name: string
+ version: number
+ description: string
+ type: string
+ icon: string
+ category: string
+ baseClasses: string[]
+ inputs: INodeParams[]
+ credential: INodeParams
+ outputs: INodeOutputsValue[]
+
+ constructor() {
+ this.label = 'Elasticsearch Upsert Document'
+ this.name = 'ElasticsearchUpsert'
+ this.version = 1.0
+ this.type = 'Elasticsearch'
+ this.icon = 'elasticsearch.png'
+ this.category = 'Vector Stores'
+ this.description = 'Upsert documents to Elasticsearch'
+ this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever']
+ this.credential = {
+ label: 'Connect Credential',
+ name: 'credential',
+ type: 'credential',
+ credentialNames: ['elasticsearchApi', 'elasticSearchUserPassword']
+ }
+ this.inputs = [
+ {
+ label: 'Document',
+ name: 'document',
+ type: 'Document',
+ list: true
+ },
+ {
+ label: 'Embeddings',
+ name: 'embeddings',
+ type: 'Embeddings'
+ },
+ {
+ label: 'Index Name',
+ name: 'indexName',
+ placeholder: '',
+ type: 'string'
+ },
+ {
+ label: 'Top K',
+ name: 'topK',
+ description: 'Number of top results to fetch. Default to 4',
+ placeholder: '4',
+ type: 'number',
+ additionalParams: true,
+ optional: true
+ },
+ {
+ label: 'Similarity',
+ name: 'similarity',
+ description: 'Similarity measure used in Elasticsearch.',
+ type: 'options',
+ default: 'l2_norm',
+ options: [
+ {
+ label: 'l2_norm',
+ name: 'l2_norm'
+ },
+ {
+ label: 'dot_product',
+ name: 'dot_product'
+ },
+ {
+ label: 'cosine',
+ name: 'cosine'
+ }
+ ],
+ additionalParams: true,
+ optional: true
+ }
+ ]
+ this.outputs = [
+ {
+ label: 'Elasticsearch Retriever',
+ name: 'retriever',
+ baseClasses: this.baseClasses
+ },
+ {
+ label: 'Elasticsearch Vector Store',
+ name: 'vectorStore',
+ baseClasses: [this.type, ...getBaseClasses(ElasticVectorSearch)]
+ }
+ ]
+ }
+
+ async init(nodeData: INodeData, _: string, options: ICommonObject): Promise {
+ const credentialData = await getCredentialData(nodeData.credential ?? '', options)
+ const endPoint = getCredentialParam('endpoint', credentialData, nodeData)
+ const apiKey = getCredentialParam('apiKey', credentialData, nodeData)
+ const docs = nodeData.inputs?.document as Document[]
+ const indexName = nodeData.inputs?.indexName 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
+ const similarityMeasure = nodeData.inputs?.similarityMeasure as string
+
+ // eslint-disable-next-line no-console
+ console.log('EndPoint:: ' + endPoint + ', APIKey:: ' + apiKey + ', Index:: ' + indexName)
+
+ const elasticSearchClientOptions: ClientOptions = {
+ node: endPoint,
+ auth: {
+ apiKey: apiKey
+ }
+ }
+ let vectorSearchOptions = {}
+ switch (similarityMeasure) {
+ case 'dot_product':
+ vectorSearchOptions = {
+ similarity: 'dot_product'
+ }
+ break
+ case 'cosine':
+ vectorSearchOptions = {
+ similarity: 'cosine'
+ }
+ break
+ default:
+ vectorSearchOptions = {
+ similarity: 'l2_norm'
+ }
+ }
+ const elasticSearchClientArgs: ElasticClientArgs = {
+ client: new Client(elasticSearchClientOptions),
+ indexName: indexName,
+ vectorSearchOptions: vectorSearchOptions
+ }
+
+ const flattenDocs = docs && docs.length ? flatten(docs) : []
+ const finalDocs = []
+ for (let i = 0; i < flattenDocs.length; i += 1) {
+ finalDocs.push(new Document(flattenDocs[i]))
+ }
+
+ const vectorStore = await ElasticVectorSearch.fromDocuments(finalDocs, embeddings, elasticSearchClientArgs)
+
+ if (output === 'retriever') {
+ return vectorStore.asRetriever(k)
+ } else if (output === 'vectorStore') {
+ ;(vectorStore as any).k = k
+ return vectorStore
+ }
+ return vectorStore
+ }
+}
+
+module.exports = { nodeClass: ElasicsearchUpsert_VectorStores }
diff --git a/packages/components/nodes/vectorstores/Elasticsearch/elasticsearch.png b/packages/components/nodes/vectorstores/Elasticsearch/elasticsearch.png
new file mode 100644
index 000000000..fdb668636
Binary files /dev/null and b/packages/components/nodes/vectorstores/Elasticsearch/elasticsearch.png differ
diff --git a/packages/components/package.json b/packages/components/package.json
index 936091062..3fdd8923a 100644
--- a/packages/components/package.json
+++ b/packages/components/package.json
@@ -19,6 +19,7 @@
"@aws-sdk/client-dynamodb": "^3.360.0",
"@dqbd/tiktoken": "^1.0.7",
"@getzep/zep-js": "^0.6.3",
+ "@elastic/elasticsearch": "^8.9.0",
"@google-ai/generativelanguage": "^0.2.1",
"@huggingface/inference": "^2.6.1",
"@notionhq/client": "^2.2.8",