Flowise/packages/components/nodes/vectorstores/Zep/Zep_Upsert.ts

138 lines
4.7 KiB
TypeScript

import { flatten } from 'lodash'
import { ZepVectorStore, IZepConfig } from '@langchain/community/vectorstores/zep'
import { Embeddings } from '@langchain/core/embeddings'
import { Document } from '@langchain/core/documents'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
class Zep_Upsert_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 = 'Zep Upsert Document (Open Source)'
this.name = 'Zep Upsert (Open Source)'
this.version = 1.0
this.type = 'Zep'
this.icon = 'zep.svg'
this.category = 'Vector Stores'
this.description = 'Upsert documents to Zep'
this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever']
this.badge = 'DEPRECATING'
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
optional: true,
description: 'Configure JWT authentication on your Zep instance (Optional)',
credentialNames: ['zepMemoryApi']
}
this.inputs = [
{
label: 'Document',
name: 'document',
type: 'Document',
list: true
},
{
label: 'Embeddings',
name: 'embeddings',
type: 'Embeddings'
},
{
label: 'Base URL',
name: 'baseURL',
type: 'string',
default: 'http://127.0.0.1:8000'
},
{
label: 'Zep Collection',
name: 'zepCollection',
type: 'string',
placeholder: 'my-first-collection'
},
{
label: 'Embedding Dimension',
name: 'dimension',
type: 'number',
default: 1536,
additionalParams: 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: 'Zep Retriever',
name: 'retriever',
baseClasses: this.baseClasses
},
{
label: 'Zep Vector Store',
name: 'vectorStore',
baseClasses: [this.type, ...getBaseClasses(ZepVectorStore)]
}
]
}
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const baseURL = nodeData.inputs?.baseURL as string
const zepCollection = nodeData.inputs?.zepCollection as string
const dimension = (nodeData.inputs?.dimension as number) ?? 1536
const docs = nodeData.inputs?.document as Document[]
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 credentialData = await getCredentialData(nodeData.credential ?? '', options)
const apiKey = getCredentialParam('apiKey', credentialData, nodeData)
const flattenDocs = docs && docs.length ? flatten(docs) : []
const finalDocs = []
for (let i = 0; i < flattenDocs.length; i += 1) {
if (flattenDocs[i] && flattenDocs[i].pageContent) {
finalDocs.push(new Document(flattenDocs[i]))
}
}
const zepConfig: IZepConfig = {
apiUrl: baseURL,
collectionName: zepCollection,
embeddingDimensions: dimension,
isAutoEmbedded: false
}
if (apiKey) zepConfig.apiKey = apiKey
const vectorStore = await ZepVectorStore.fromDocuments(finalDocs, embeddings, zepConfig)
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: Zep_Upsert_VectorStores }