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sshekhar1sshekhar1
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Added optional parameters under Additional Parameters
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  • packages/components/nodes/vectorstores/Teradata

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+35
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‎packages/components/nodes/vectorstores/Teradata/Teradata.ts‎

Lines changed: 35 additions & 14 deletions
Original file line numberDiff line numberDiff line change
@@ -72,6 +72,7 @@ class Teradata_VectorStores implements INode {
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description: 'Teradata Vector Store Description',
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placeholder: `Vector_Store_Description`,
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type: 'string',
75+
additionalParams: true,
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optional: true
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},
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{
@@ -80,6 +81,7 @@ class Teradata_VectorStores implements INode {
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description: 'Search Algorithm for Vector Store',
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placeholder: 'Search_Algorithm',
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type: 'string',
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additionalParams: true,
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optional: true
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},
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{
@@ -88,54 +90,61 @@ class Teradata_VectorStores implements INode {
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description: 'Distance Metric to be used for distance calculation between vectors',
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placeholder: 'Distance_Metric',
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type: 'string',
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additionalParams: true,
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optional: true
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},
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{
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label: 'Initial_Centroids_Method',
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name: 'initialCentroidsMethod',
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description: 'Algorithm to be used for initializing the cluster centroids',
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description: 'Algorithm to be used for initializing the cluster centroids for Search Algorithm KMEANS',
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placeholder: 'Initial_Centroids_Method',
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type: 'string',
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additionalParams: true,
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optional: true
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},
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{
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label: 'Train_NumCluster',
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name: 'trainNumCluster',
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description: 'Number of clusters to be trained',
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description: 'Number of clusters to be trained for Search Algorithm KMEANS',
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placeholder: 'Train_NumCluster',
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type: 'string',
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additionalParams: true,
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optional: true
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},
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{
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label: 'MaxIterNum',
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name: 'maxIterNum',
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description: 'Maximum number of iterations to be run during training',
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description: 'Maximum number of iterations to be run during training for Search Algorithm KMEANS',
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placeholder: 'MaxIterNum',
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type: 'string',
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additionalParams: true,
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optional: true
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},
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{
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label: 'Stop_Threshold',
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name: 'stopThreshold',
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description: 'Threshold value at which training should be stopped',
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description: 'Threshold value at which training should be stopped for Search Algorithm KMEANS',
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placeholder: 'Stop_Threshold',
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type: 'string',
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additionalParams: true,
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optional: true
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},
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{
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label: 'Seed',
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name: 'seed',
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description: 'Seed value to be used for random number generation',
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description: 'Seed value to be used for random number generation for Search Algorithm KMEANS',
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placeholder: 'Seed',
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type: 'string',
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additionalParams: true,
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optional: true
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},
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{
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label: 'Num_Init',
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name: 'numInit',
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description: 'number of times the k-means algorithm should run with different initial centroid seeds',
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description: 'number of times the k-means algorithm should run with different initial centroid seeds for Search Algorithm KMEANS',
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placeholder: 'Num_Init',
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type: 'string',
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additionalParams: true,
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optional: true
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},
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{
@@ -144,6 +153,7 @@ class Teradata_VectorStores implements INode {
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description: 'Number of top results to fetch. Default to 10',
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placeholder: 'Top_K',
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type: 'string',
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additionalParams: true,
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optional: true
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},
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{
@@ -152,62 +162,70 @@ class Teradata_VectorStores implements INode {
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description: 'Threshold value to consider for matching tables/views while searching',
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placeholder: 'Search_Threshold',
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type: 'string',
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additionalParams: true,
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optional: true
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},
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{
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label: 'Search_NumCluster',
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name: 'searchNumCluster',
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description: 'Number of clusters to be considered while searching',
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description: 'Number of clusters to be considered while searching for Search Algorithm KMEANS',
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placeholder: 'Search_NumCluster',
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type: 'string',
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additionalParams: true,
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optional: true
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},
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{
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label: 'Ef_Search',
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name: 'efSearch',
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description: 'Number of neighbors to be considered during search in HNSW graph',
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description: 'Number of neighbors to be considered during search in HNSW graph for Search Algorithm HNSW',
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placeholder: 'Ef_Search',
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type: 'string',
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additionalParams: true,
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optional: true
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},
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{
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label: 'Num_Layer',
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name: 'numLayer',
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description: 'Number of neighbors to be considered during search in HNSW graph',
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description: 'Number of layers in the HNSW graph for Search Algorithm HNSW',
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placeholder: 'Num_Layer',
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type: 'string',
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additionalParams: true,
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optional: true
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},
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{
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label: 'Ef_Construction',
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name: 'efConstruction',
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description: 'Number of neighbors to be considered during construction of the HNSW graph',
198+
description: 'Number of neighbors to be considered during construction of the HNSW graph for Search Algorithm HNSW',
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placeholder: 'Ef_Construction',
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type: 'string',
201+
additionalParams: true,
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optional: true
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},
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{
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label: 'Num_ConnPerNode',
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name: 'numConnPerNode',
192-
description: 'Number of connections per node in the HNSW graph during construction',
207+
description: 'Number of connections per node in the HNSW graph during construction for Search Algorithm HNSW',
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placeholder: 'Num_ConnPerNode',
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type: 'string',
210+
additionalParams: true,
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optional: true
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},
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{
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label: 'MaxNum_ConnPerNode',
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name: 'maxNumConnPerNode',
200-
description: 'Maximum number of connections per node in the HNSW graph during construction',
216+
description: 'Maximum number of connections per node in the HNSW graph during construction for Search Algorithm HNSW',
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placeholder: 'MaxNum_ConnPerNode',
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type: 'string',
219+
additionalParams: true,
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optional: true
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},
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{
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label: 'Apply_Heuristics',
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name: 'applyHeuristics',
208-
description: 'Specifies whether to apply heuristics optimizations during construction of the HNSW graph',
225+
description: 'Specifies whether to apply heuristics optimizations during construction of the HNSW graph for Search Algorithm HNSW',
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placeholder: 'Apply_Heuristics',
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type: 'string',
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additionalParams: true,
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optional: true
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},
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{
@@ -216,6 +234,7 @@ class Teradata_VectorStores implements INode {
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description: 'Weight to be used for reranking the search results',
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placeholder: 'Rerank_Weight',
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type: 'string',
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additionalParams: true,
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optional: true
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},
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{
@@ -224,6 +243,7 @@ class Teradata_VectorStores implements INode {
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description: 'Number of top similarity matches to be considered for reranking',
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placeholder: 'Relevance_Top_K',
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type: 'string',
246+
additionalParams: true,
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optional: true
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},
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{
@@ -232,6 +252,7 @@ class Teradata_VectorStores implements INode {
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description: 'Threshold value to consider for matching tables/views while reranking',
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placeholder: 'Relevance_Search_Threshold',
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type: 'string',
255+
additionalParams: true,
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optional: true
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}
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]
@@ -816,4 +837,4 @@ class Teradata_VectorStores implements INode {
816837
}
817838
}
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819-
module.exports = { nodeClass: Teradata_VectorStores }
840+
module.exports = { nodeClass: Teradata_VectorStores }

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