add vector upsert ability

2026-06-28 17:01:00 +03:00 · 2023-11-16 18:34:17 +00:00
parent 9205a29787
commit 44cadc1cc3
108 changed files with 10019 additions and 4726 deletions
@@ -0,0 +1,99 @@
+import { INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
+import { OpenSearchVectorStore } from 'langchain/vectorstores/opensearch'
+import { Embeddings } from 'langchain/embeddings/base'
+import { Client } from '@opensearch-project/opensearch'
+import { getBaseClasses } from '../../../src/utils'
+
+class OpenSearch_Existing_VectorStores implements INode {
+    label: string
+    name: string
+    version: number
+    description: string
+    type: string
+    icon: string
+    category: string
+    badge: string
+    baseClasses: string[]
+    inputs: INodeParams[]
+    outputs: INodeOutputsValue[]
+
+    constructor() {
+        this.label = 'OpenSearch Load Existing Index'
+        this.name = 'openSearchExistingIndex'
+        this.version = 1.0
+        this.type = 'OpenSearch'
+        this.icon = 'opensearch.png'
+        this.category = 'Vector Stores'
+        this.description = 'Load existing index from OpenSearch (i.e: Document has been upserted)'
+        this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever']
+        this.badge = 'DEPRECATING'
+        this.inputs = [
+            {
+                label: 'Embeddings',
+                name: 'embeddings',
+                type: 'Embeddings'
+            },
+            {
+                label: 'OpenSearch URL',
+                name: 'opensearchURL',
+                type: 'string',
+                placeholder: 'http://127.0.0.1:9200'
+            },
+            {
+                label: 'Index Name',
+                name: 'indexName',
+                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: 'OpenSearch Retriever',
+                name: 'retriever',
+                baseClasses: this.baseClasses
+            },
+            {
+                label: 'OpenSearch Vector Store',
+                name: 'vectorStore',
+                baseClasses: [this.type, ...getBaseClasses(OpenSearchVectorStore)]
+            }
+        ]
+    }
+
+    async init(nodeData: INodeData): Promise<any> {
+        const embeddings = nodeData.inputs?.embeddings as Embeddings
+        const opensearchURL = nodeData.inputs?.opensearchURL as string
+        const indexName = nodeData.inputs?.indexName as string
+        const output = nodeData.outputs?.output as string
+        const topK = nodeData.inputs?.topK as string
+        const k = topK ? parseFloat(topK) : 4
+
+        const client = new Client({
+            nodes: [opensearchURL]
+        })
+
+        const vectorStore = new OpenSearchVectorStore(embeddings, {
+            client,
+            indexName
+        })
+
+        if (output === 'retriever') {
+            const retriever = vectorStore.asRetriever(k)
+            return retriever
+        } else if (output === 'vectorStore') {
+            ;(vectorStore as any).k = k
+            return vectorStore
+        }
+        return vectorStore
+    }
+}
+
+module.exports = { nodeClass: OpenSearch_Existing_VectorStores }