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Merge pull request #762 from vectara/Fix-filter

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Fix Vectara filter
This commit is contained in:
Henry Heng
2023-08-14 20:47:08 +01:00
committed by GitHub
parent dcf3672e97 de591e4808
commit 1fc66d361d
2 changed files with 11 additions and 17 deletions
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packages/components/nodes/vectorstores/Vectara_Existing/Vectara_Existing.ts
+5 -8
View File
@@ -34,7 +34,9 @@ class VectaraExisting_VectorStores implements INode {
{
label: 'Vectara Metadata Filter',
name: 'filter',
type: 'json',
description:
'Filter to apply to Vectara metadata. Refer to the <a target="_blank" href="https://docs.flowiseai.com/vector-stores/vectara">documentation</a> on how to use Vectara filters with Flowise.',
type: 'string',
additionalParams: true,
optional: true
},
@@ -74,7 +76,7 @@ class VectaraExisting_VectorStores implements INode {
const customerId = getCredentialParam('customerID', credentialData, nodeData)
const corpusId = getCredentialParam('corpusID', credentialData, nodeData)
const vectaraMetadatafilter = nodeData.inputs?.filter as VectaraFilter
const vectaraMetadataFilter = nodeData.inputs?.filter as string
const lambda = nodeData.inputs?.lambda as number
const output = nodeData.outputs?.output as string
const topK = nodeData.inputs?.topK as string
@@ -87,12 +89,7 @@ class VectaraExisting_VectorStores implements INode {
}
const vectaraFilter: VectaraFilter = {}
if (vectaraMetadatafilter) {
const metadatafilter = typeof vectaraMetadatafilter === 'object' ? vectaraMetadatafilter : JSON.parse(vectaraMetadatafilter)
vectaraFilter.filter = metadatafilter
}
if (vectaraMetadataFilter) vectaraFilter.filter = vectaraMetadataFilter
if (lambda) vectaraFilter.lambda = lambda
const vectorStore = new VectaraStore(vectaraArgs)
packages/components/nodes/vectorstores/Vectara_Upsert/Vectara_Upsert.ts
+6 -9
View File
@@ -41,9 +41,11 @@ class VectaraUpsert_VectorStores implements INode {
list: true
},
{
label: 'Filter',
label: 'Vectara Metadata Filter',
name: 'filter',
type: 'json',
description:
'Filter to apply to Vectara metadata. Refer to the <a target="_blank" href="https://docs.flowiseai.com/vector-stores/vectara">documentation</a> on how to use Vectara filters with Flowise.',
type: 'string',
additionalParams: true,
optional: true
},
@@ -85,7 +87,7 @@ class VectaraUpsert_VectorStores implements INode {
const docs = nodeData.inputs?.document as Document[]
const embeddings = {} as Embeddings
const vectaraMetadatafilter = nodeData.inputs?.filter as VectaraFilter
const vectaraMetadataFilter = nodeData.inputs?.filter as string
const lambda = nodeData.inputs?.lambda as number
const output = nodeData.outputs?.output as string
const topK = nodeData.inputs?.topK as string
@@ -98,12 +100,7 @@ class VectaraUpsert_VectorStores implements INode {
}
const vectaraFilter: VectaraFilter = {}
if (vectaraMetadatafilter) {
const metadatafilter = typeof vectaraMetadatafilter === 'object' ? vectaraMetadatafilter : JSON.parse(vectaraMetadatafilter)
vectaraFilter.filter = metadatafilter
}
if (vectaraMetadataFilter) vectaraFilter.filter = vectaraMetadataFilter
if (lambda) vectaraFilter.lambda = lambda
const flattenDocs = docs && docs.length ? flatten(docs) : []