Flowise/packages/components/nodes/vectorstores/Chroma/Chroma.ts

253 lines
10 KiB
TypeScript

import { flatten } from 'lodash'
import { Chroma } from '@langchain/community/vectorstores/chroma'
import { Embeddings } from '@langchain/core/embeddings'
import { Document } from '@langchain/core/documents'
import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams, IndexingResult } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { ChromaExtended } from './core'
import { index } from '../../../src/indexing'
class Chroma_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 = 'Chroma'
this.name = 'chroma'
this.version = 2.0
this.type = 'Chroma'
this.icon = 'chroma.svg'
this.category = 'Vector Stores'
this.description = 'Upsert embedded data and perform similarity search upon query using Chroma, an open-source embedding database'
this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever']
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
description: 'Only needed if you have chroma on cloud services with X-Api-key',
optional: true,
credentialNames: ['chromaApi']
}
this.inputs = [
{
label: 'Document',
name: 'document',
type: 'Document',
list: true,
optional: true
},
{
label: 'Embeddings',
name: 'embeddings',
type: 'Embeddings'
},
{
label: 'Record Manager',
name: 'recordManager',
type: 'RecordManager',
description: 'Keep track of the record to prevent duplication',
optional: true
},
{
label: 'Collection Name',
name: 'collectionName',
type: 'string'
},
{
label: 'Chroma URL',
name: 'chromaURL',
type: 'string',
optional: true
},
{
label: 'Chroma Metadata Filter',
name: 'chromaMetadataFilter',
type: 'json',
optional: true,
additionalParams: true,
acceptVariable: 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: 'Chroma Retriever',
name: 'retriever',
baseClasses: this.baseClasses
},
{
label: 'Chroma Vector Store',
name: 'vectorStore',
baseClasses: [this.type, ...getBaseClasses(Chroma)]
}
]
}
//@ts-ignore
vectorStoreMethods = {
async upsert(nodeData: INodeData, options: ICommonObject): Promise<Partial<IndexingResult>> {
const collectionName = nodeData.inputs?.collectionName as string
const docs = nodeData.inputs?.document as Document[]
const embeddings = nodeData.inputs?.embeddings as Embeddings
const chromaURL = nodeData.inputs?.chromaURL as string
const recordManager = nodeData.inputs?.recordManager
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const chromaApiKey = getCredentialParam('chromaApiKey', credentialData, nodeData)
const chromaTenant = getCredentialParam('chromaTenant', credentialData, nodeData)
const chromaDatabase = getCredentialParam('chromaDatabase', 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 obj: {
collectionName: string
url?: string
chromaApiKey?: string
chromaTenant?: string
chromaDatabase?: string
} = { collectionName }
if (chromaURL) obj.url = chromaURL
if (chromaApiKey) obj.chromaApiKey = chromaApiKey
if (chromaTenant) obj.chromaTenant = chromaTenant
if (chromaDatabase) obj.chromaDatabase = chromaDatabase
try {
if (recordManager) {
const vectorStore = await ChromaExtended.fromExistingCollection(embeddings, obj)
await recordManager.createSchema()
const res = await index({
docsSource: finalDocs,
recordManager,
vectorStore,
options: {
cleanup: recordManager?.cleanup,
sourceIdKey: recordManager?.sourceIdKey ?? 'source',
vectorStoreName: collectionName
}
})
return res
} else {
await ChromaExtended.fromDocuments(finalDocs, embeddings, obj)
return { numAdded: finalDocs.length, addedDocs: finalDocs }
}
} catch (e) {
throw new Error(e)
}
},
async delete(nodeData: INodeData, ids: string[], options: ICommonObject): Promise<void> {
const collectionName = nodeData.inputs?.collectionName as string
const embeddings = nodeData.inputs?.embeddings as Embeddings
const chromaURL = nodeData.inputs?.chromaURL as string
const recordManager = nodeData.inputs?.recordManager
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const chromaApiKey = getCredentialParam('chromaApiKey', credentialData, nodeData)
const chromaTenant = getCredentialParam('chromaTenant', credentialData, nodeData)
const chromaDatabase = getCredentialParam('chromaDatabase', credentialData, nodeData)
const obj: {
collectionName: string
url?: string
chromaApiKey?: string
chromaTenant?: string
chromaDatabase?: string
} = { collectionName }
if (chromaURL) obj.url = chromaURL
if (chromaApiKey) obj.chromaApiKey = chromaApiKey
if (chromaTenant) obj.chromaTenant = chromaTenant
if (chromaDatabase) obj.chromaDatabase = chromaDatabase
try {
if (recordManager) {
const vectorStoreName = collectionName
await recordManager.createSchema()
;(recordManager as any).namespace = (recordManager as any).namespace + '_' + vectorStoreName
const keys: string[] = await recordManager.listKeys({})
const chromaStore = new ChromaExtended(embeddings, obj)
await chromaStore.delete({ ids: keys })
await recordManager.deleteKeys(keys)
} else {
const chromaStore = new ChromaExtended(embeddings, obj)
await chromaStore.delete({ ids })
}
} catch (e) {
throw new Error(e)
}
}
}
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const collectionName = nodeData.inputs?.collectionName as string
const embeddings = nodeData.inputs?.embeddings as Embeddings
const chromaURL = nodeData.inputs?.chromaURL as string
const output = nodeData.outputs?.output as string
const topK = nodeData.inputs?.topK as string
const k = topK ? parseFloat(topK) : 4
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const chromaApiKey = getCredentialParam('chromaApiKey', credentialData, nodeData)
const chromaTenant = getCredentialParam('chromaTenant', credentialData, nodeData)
const chromaDatabase = getCredentialParam('chromaDatabase', credentialData, nodeData)
const chromaMetadataFilter = nodeData.inputs?.chromaMetadataFilter
const obj: {
collectionName: string
url?: string
chromaApiKey?: string
chromaTenant?: string
chromaDatabase?: string
filter?: object | undefined
} = { collectionName }
if (chromaURL) obj.url = chromaURL
if (chromaApiKey) obj.chromaApiKey = chromaApiKey
if (chromaTenant) obj.chromaTenant = chromaTenant
if (chromaDatabase) obj.chromaDatabase = chromaDatabase
if (chromaMetadataFilter) {
const metadatafilter = typeof chromaMetadataFilter === 'object' ? chromaMetadataFilter : JSON.parse(chromaMetadataFilter)
obj.filter = metadatafilter
}
const vectorStore = await ChromaExtended.fromExistingCollection(embeddings, obj)
if (output === 'retriever') {
const retriever = vectorStore.asRetriever(k)
return retriever
} else if (output === 'vectorStore') {
;(vectorStore as any).k = k
if (chromaMetadataFilter) {
;(vectorStore as any).filter = obj.filter
}
return vectorStore
}
return vectorStore
}
}
module.exports = { nodeClass: Chroma_VectorStores }