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Overview

Vector search engine with semantic search capabilities. Through Langdock’s integration, you can access and manage Vertex AI Vector Search directly from your conversations.
Authentication: Service Account Category: Vector Database Availability: All workspace plans

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Available Actions

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Search vector index

vertex_ai_vector_search.search_vector_index
Searches the database for the most relevant information based on the query provided Requires Confirmation: No Parameters:
  • query (VECTOR, Required):
  • publicDomainName (TEXT, Required): The public domain name of the vector index you want to query can be found in Google Cloud Console: Vertex AI → Vector Search → Index Endpoints → [Your Endpoint] → Endpoint info
  • projectIdNumber (TEXT, Required): The id is the “name” of your google project, number is the associated number, you can find both in the Google Cloud Console -> click the settings at utilities in the top right -> in open menu click “Project Settings” -> you’ll see both Project ID and Project Number listed
  • region (TEXT, Required): The region of the index / vector database you want to query, can be found in Google Cloud Console: Vertex AI → Vector Search → Index Endpoints → [Your Endpoint] → Endpoint info, example format: us-central1
  • indexEndpointId (TEXT, Required): The unique identifier of your Index / vector database, can be found in Google Cloud Console: Vertex AI → Vector Search → Index Endpoints → [Your Endpoint] → Endpoint info
  • deployedIndexId (TEXT, Required): The deployment name of your Index / vector database, can be found in Google Cloud Console: Vertex AI → Vector Search → Index Endpoints → [Your Endpoint] → Endpoint info -> Deployed index column in the table
Output: Returns the operation result