add vector upsert ability

This commit is contained in:
Henry
2023-11-16 18:34:17 +00:00
parent 9205a29787
commit 44cadc1cc3
108 changed files with 10019 additions and 4726 deletions
@@ -0,0 +1,169 @@
import { flatten } from 'lodash'
import { createClient } from '@supabase/supabase-js'
import { Document } from 'langchain/document'
import { Embeddings } from 'langchain/embeddings/base'
import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { SupabaseLibArgs, SupabaseVectorStore } from 'langchain/vectorstores/supabase'
class Supabase_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 = 'Supabase'
this.name = 'supabase'
this.version = 1.0
this.type = 'Supabase'
this.icon = 'supabase.svg'
this.category = 'Vector Stores'
this.description = 'Upsert or Load data to Supabase using pgvector'
this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever']
this.badge = 'NEW'
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['supabaseApi']
}
this.inputs = [
{
label: 'Document',
name: 'document',
type: 'Document',
list: true,
optional: true
},
{
label: 'Embeddings',
name: 'embeddings',
type: 'Embeddings'
},
{
label: 'Supabase Project URL',
name: 'supabaseProjUrl',
type: 'string'
},
{
label: 'Table Name',
name: 'tableName',
type: 'string'
},
{
label: 'Query Name',
name: 'queryName',
type: 'string'
},
{
label: 'Supabase Metadata Filter',
name: 'supabaseMetadataFilter',
type: 'json',
optional: true,
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: 'Supabase Retriever',
name: 'retriever',
baseClasses: this.baseClasses
},
{
label: 'Supabase Vector Store',
name: 'vectorStore',
baseClasses: [this.type, ...getBaseClasses(SupabaseVectorStore)]
}
]
}
//@ts-ignore
vectorStoreMethods = {
async upsert(nodeData: INodeData, options: ICommonObject): Promise<void> {
const supabaseProjUrl = nodeData.inputs?.supabaseProjUrl as string
const tableName = nodeData.inputs?.tableName as string
const queryName = nodeData.inputs?.queryName as string
const docs = nodeData.inputs?.document as Document[]
const embeddings = nodeData.inputs?.embeddings as Embeddings
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const supabaseApiKey = getCredentialParam('supabaseApiKey', credentialData, nodeData)
const client = createClient(supabaseProjUrl, supabaseApiKey)
const flattenDocs = docs && docs.length ? flatten(docs) : []
const finalDocs = []
for (let i = 0; i < flattenDocs.length; i += 1) {
finalDocs.push(new Document(flattenDocs[i]))
}
try {
await SupabaseVectorStore.fromDocuments(finalDocs, embeddings, {
client,
tableName: tableName,
queryName: queryName
})
} catch (e) {
throw new Error(e)
}
}
}
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const supabaseProjUrl = nodeData.inputs?.supabaseProjUrl as string
const tableName = nodeData.inputs?.tableName as string
const queryName = nodeData.inputs?.queryName as string
const embeddings = nodeData.inputs?.embeddings as Embeddings
const supabaseMetadataFilter = nodeData.inputs?.supabaseMetadataFilter
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 supabaseApiKey = getCredentialParam('supabaseApiKey', credentialData, nodeData)
const client = createClient(supabaseProjUrl, supabaseApiKey)
const obj: SupabaseLibArgs = {
client,
tableName,
queryName
}
if (supabaseMetadataFilter) {
const metadatafilter = typeof supabaseMetadataFilter === 'object' ? supabaseMetadataFilter : JSON.parse(supabaseMetadataFilter)
obj.filter = metadatafilter
}
const vectorStore = await SupabaseVectorStore.fromExistingIndex(embeddings, obj)
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: Supabase_VectorStores }
@@ -0,0 +1,128 @@
import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
import { Embeddings } from 'langchain/embeddings/base'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { SupabaseLibArgs, SupabaseVectorStore } from 'langchain/vectorstores/supabase'
import { createClient } from '@supabase/supabase-js'
class Supabase_Existing_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 = 'Supabase Load Existing Index'
this.name = 'supabaseExistingIndex'
this.version = 1.0
this.type = 'Supabase'
this.icon = 'supabase.svg'
this.category = 'Vector Stores'
this.description = 'Load existing index from Supabase (i.e: Document has been upserted)'
this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever']
this.badge = 'DEPRECATING'
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['supabaseApi']
}
this.inputs = [
{
label: 'Embeddings',
name: 'embeddings',
type: 'Embeddings'
},
{
label: 'Supabase Project URL',
name: 'supabaseProjUrl',
type: 'string'
},
{
label: 'Table Name',
name: 'tableName',
type: 'string'
},
{
label: 'Query Name',
name: 'queryName',
type: 'string'
},
{
label: 'Supabase Metadata Filter',
name: 'supabaseMetadataFilter',
type: 'json',
optional: true,
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: 'Supabase Retriever',
name: 'retriever',
baseClasses: this.baseClasses
},
{
label: 'Supabase Vector Store',
name: 'vectorStore',
baseClasses: [this.type, ...getBaseClasses(SupabaseVectorStore)]
}
]
}
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const supabaseProjUrl = nodeData.inputs?.supabaseProjUrl as string
const tableName = nodeData.inputs?.tableName as string
const queryName = nodeData.inputs?.queryName as string
const embeddings = nodeData.inputs?.embeddings as Embeddings
const supabaseMetadataFilter = nodeData.inputs?.supabaseMetadataFilter
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 supabaseApiKey = getCredentialParam('supabaseApiKey', credentialData, nodeData)
const client = createClient(supabaseProjUrl, supabaseApiKey)
const obj: SupabaseLibArgs = {
client,
tableName,
queryName
}
if (supabaseMetadataFilter) {
const metadatafilter = typeof supabaseMetadataFilter === 'object' ? supabaseMetadataFilter : JSON.parse(supabaseMetadataFilter)
obj.filter = metadatafilter
}
const vectorStore = await SupabaseVectorStore.fromExistingIndex(embeddings, obj)
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: Supabase_Existing_VectorStores }
@@ -0,0 +1,128 @@
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/utils'
import { SupabaseVectorStore } from 'langchain/vectorstores/supabase'
import { createClient } from '@supabase/supabase-js'
import { flatten } from 'lodash'
class SupabaseUpsert_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 = 'Supabase Upsert Document'
this.name = 'supabaseUpsert'
this.version = 1.0
this.type = 'Supabase'
this.icon = 'supabase.svg'
this.category = 'Vector Stores'
this.description = 'Upsert documents to Supabase'
this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever']
this.badge = 'DEPRECATING'
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['supabaseApi']
}
this.inputs = [
{
label: 'Document',
name: 'document',
type: 'Document',
list: true
},
{
label: 'Embeddings',
name: 'embeddings',
type: 'Embeddings'
},
{
label: 'Supabase Project URL',
name: 'supabaseProjUrl',
type: 'string'
},
{
label: 'Table Name',
name: 'tableName',
type: 'string'
},
{
label: 'Query Name',
name: 'queryName',
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: 'Supabase Retriever',
name: 'retriever',
baseClasses: this.baseClasses
},
{
label: 'Supabase Vector Store',
name: 'vectorStore',
baseClasses: [this.type, ...getBaseClasses(SupabaseVectorStore)]
}
]
}
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const supabaseProjUrl = nodeData.inputs?.supabaseProjUrl as string
const tableName = nodeData.inputs?.tableName as string
const queryName = nodeData.inputs?.queryName as string
const docs = nodeData.inputs?.document as Document[]
const embeddings = nodeData.inputs?.embeddings as Embeddings
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 supabaseApiKey = getCredentialParam('supabaseApiKey', credentialData, nodeData)
const client = createClient(supabaseProjUrl, supabaseApiKey)
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 SupabaseVectorStore.fromDocuments(finalDocs, embeddings, {
client,
tableName: tableName,
queryName: queryName
})
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: SupabaseUpsert_VectorStores }
@@ -0,0 +1,15 @@
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