Class: Google::Cloud::AIPlatform::V1::RagVectorDbConfig::RagManagedDb
- Inherits:
-
Object
- Object
- Google::Cloud::AIPlatform::V1::RagVectorDbConfig::RagManagedDb
- Extended by:
- Protobuf::MessageExts::ClassMethods
- Includes:
- Protobuf::MessageExts
- Defined in:
- proto_docs/google/cloud/aiplatform/v1/vertex_rag_data.rb
Overview
The config for the default RAG-managed Vector DB.
Defined Under Namespace
Instance Attribute Summary collapse
-
#ann ⇒ ::Google::Cloud::AIPlatform::V1::RagVectorDbConfig::RagManagedDb::ANN
Performs an ANN search on RagCorpus.
-
#knn ⇒ ::Google::Cloud::AIPlatform::V1::RagVectorDbConfig::RagManagedDb::KNN
Performs a KNN search on RagCorpus.
Instance Attribute Details
#ann ⇒ ::Google::Cloud::AIPlatform::V1::RagVectorDbConfig::RagManagedDb::ANN
Returns Performs an ANN search on RagCorpus. Use this if you have a lot of files (> 10K) in your RagCorpus and want to reduce the search latency.
Note: The following fields are mutually exclusive: ann, knn. If a field in that set is populated, all other fields in the set will automatically be cleared.
99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 |
# File 'proto_docs/google/cloud/aiplatform/v1/vertex_rag_data.rb', line 99 class RagManagedDb include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Config for KNN search. class KNN include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Config for ANN search. # # RagManagedDb uses a tree-based structure to partition data and # facilitate faster searches. As a tradeoff, it requires longer indexing # time and manual triggering of index rebuild via the ImportRagFiles and # UpdateRagCorpus API. # @!attribute [rw] tree_depth # @return [::Integer] # The depth of the tree-based structure. Only depth values of 2 and 3 are # supported. # # Recommended value is 2 if you have if you have O(10K) files in the # RagCorpus and set this to 3 if more than that. # # Default value is 2. # @!attribute [rw] leaf_count # @return [::Integer] # Number of leaf nodes in the tree-based structure. Each leaf node # contains groups of closely related vectors along with their # corresponding centroid. # # Recommended value is 10 * sqrt(num of RagFiles in your RagCorpus). # # Default value is 500. class ANN include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end |
#knn ⇒ ::Google::Cloud::AIPlatform::V1::RagVectorDbConfig::RagManagedDb::KNN
Returns Performs a KNN search on RagCorpus. Default choice if not specified.
Note: The following fields are mutually exclusive: knn, ann. If a field in that set is populated, all other fields in the set will automatically be cleared.
99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 |
# File 'proto_docs/google/cloud/aiplatform/v1/vertex_rag_data.rb', line 99 class RagManagedDb include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Config for KNN search. class KNN include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Config for ANN search. # # RagManagedDb uses a tree-based structure to partition data and # facilitate faster searches. As a tradeoff, it requires longer indexing # time and manual triggering of index rebuild via the ImportRagFiles and # UpdateRagCorpus API. # @!attribute [rw] tree_depth # @return [::Integer] # The depth of the tree-based structure. Only depth values of 2 and 3 are # supported. # # Recommended value is 2 if you have if you have O(10K) files in the # RagCorpus and set this to 3 if more than that. # # Default value is 2. # @!attribute [rw] leaf_count # @return [::Integer] # Number of leaf nodes in the tree-based structure. Each leaf node # contains groups of closely related vectors along with their # corresponding centroid. # # Recommended value is 10 * sqrt(num of RagFiles in your RagCorpus). # # Default value is 500. class ANN include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end |