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added support for MMR

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This commit is contained in:
Ofer Mendelevitch
2023-12-31 18:36:23 -08:00
parent 45a42c4404
commit 467e71ba1f
2 changed files with 56 additions and 13 deletions
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packages/components/nodes/vectorstores/Vectara/Vectara.ts
+27 -4
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@@ -82,7 +82,9 @@ class Vectara_VectorStores implements INode {
label: 'Lambda',
name: 'lambda',
description:
'Improves retrieval accuracy by adjusting the balance (from 0 to 1) between neural search and keyword-based search factors.',
'Enable hybrid search to improve retrieval accuracy by adjusting the balance (from 0 to 1) between neural search and keyword-based search factors.' +
'A value of 0.0 means that only neural search is used, while a value of 1.0 means that only keyword-based search is used. Defaults to 0.0 (neural only).',
default: 0.0,
type: 'number',
additionalParams: true,
optional: true
@@ -90,8 +92,26 @@ class Vectara_VectorStores implements INode {
{
label: 'Top K',
name: 'topK',
description: 'Number of top results to fetch. Defaults to 4',
placeholder: '4',
description: 'Number of top results to fetch. Defaults to 5',
placeholder: '5',
type: 'number',
additionalParams: true,
optional: true
},
{
label: 'MMR K',
name: 'mmrK',
description: 'Number of top results to fetch for MMR. Defaults to 50',
placeholder: '50',
type: 'number',
additionalParams: true,
optional: true
},
{
label: 'MMR diversity bias',
name: 'mmrDiversityBias',
description: 'The diversity bias to use for MMR. Defaults to 0.3',
placeholder: '0.3',
type: 'number',
additionalParams: true,
optional: true
@@ -191,7 +211,9 @@ class Vectara_VectorStores implements INode {
const lambda = nodeData.inputs?.lambda as number
const output = nodeData.outputs?.output as string
const topK = nodeData.inputs?.topK as string
const k = topK ? parseFloat(topK) : 4
const k = topK ? parseFloat(topK) : 5
const mmrK = nodeData.inputs?.mmrK as number
const mmrDiversityBias = nodeData.inputs?.mmrDiversityBias as number
const vectaraArgs: VectaraLibArgs = {
apiKey: apiKey,
@@ -208,6 +230,7 @@ class Vectara_VectorStores implements INode {
if (sentencesBefore) vectaraContextConfig.sentencesBefore = sentencesBefore
if (sentencesAfter) vectaraContextConfig.sentencesAfter = sentencesAfter
vectaraFilter.contextConfig = vectaraContextConfig
if (mmrK) vectaraFilter.mmrConfig = { mmrK: mmrK, diversityBias: mmrDiversityBias }
const vectorStore = new VectaraStore(vectaraArgs)