add in-memory vector store

2026-06-26 15:00:20 +03:00 · 2023-04-30 12:51:54 +01:00
parent 419d9634b4
commit 3f0f33e4e6
2 changed files with 81 additions and 0 deletions
@@ -0,0 +1,74 @@
+import { INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
+import { MemoryVectorStore } from 'langchain/vectorstores/memory'
+import { Embeddings } from 'langchain/embeddings/base'
+import { Document } from 'langchain/document'
+import { getBaseClasses } from '../../../src/utils'
+
+class InMemoryVectorStore_VectorStores implements INode {
+    label: string
+    name: string
+    description: string
+    type: string
+    icon: string
+    category: string
+    baseClasses: string[]
+    inputs: INodeParams[]
+    outputs: INodeOutputsValue[]
+
+    constructor() {
+        this.label = 'In-Memory Vector Store'
+        this.name = 'memoryVectorStore'
+        this.type = 'Memory'
+        this.icon = 'memory.svg'
+        this.category = 'Vector Stores'
+        this.description = 'In-memory vectorstore that stores embeddings and does an exact, linear search for the most similar embeddings.'
+        this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever']
+        this.inputs = [
+            {
+                label: 'Document',
+                name: 'document',
+                type: 'Document'
+            },
+            {
+                label: 'Embeddings',
+                name: 'embeddings',
+                type: 'Embeddings'
+            }
+        ]
+        this.outputs = [
+            {
+                label: 'Memory Retriever',
+                name: 'retriever',
+                baseClasses: this.baseClasses
+            },
+            {
+                label: 'Memory Vector Store',
+                name: 'vectorStore',
+                baseClasses: [this.type, ...getBaseClasses(MemoryVectorStore)]
+            }
+        ]
+    }
+
+    async init(nodeData: INodeData): Promise<any> {
+        const docs = nodeData.inputs?.document as Document[]
+        const embeddings = nodeData.inputs?.embeddings as Embeddings
+        const output = nodeData.outputs?.output as string
+
+        const finalDocs = []
+        for (let i = 0; i < docs.length; i += 1) {
+            finalDocs.push(new Document(docs[i]))
+        }
+
+        const vectorStore = await MemoryVectorStore.fromDocuments(finalDocs, embeddings)
+
+        if (output === 'retriever') {
+            const retriever = vectorStore.asRetriever()
+            return retriever
+        } else if (output === 'vectorStore') {
+            return vectorStore
+        }
+        return vectorStore
+    }
+}
+
+module.exports = { nodeClass: InMemoryVectorStore_VectorStores }
@@ -0,0 +1,7 @@
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+   <path stroke="none" d="M0 0h24v24H0z" fill="none"></path>
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+   <path d="M13 6v2"></path>
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+</svg>