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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: AI & Search
Availability: All workspace plans

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Available Actions

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Search vector index

vertexaivectorsearch.searchvectorindex
Searches the database for the most relevant information based on the query provided Requires Confirmation: No Parameters:
  • query (VECTOR, Required): The search query for vector similarity search
    • 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 most relevant search results from the vector index

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Common Use Cases

Data Management

Manage and organize your Vertex AI Vector Search data

Automation

Automate workflows with Vertex AI Vector Search

Reporting

Generate insights and reports

Integration

Connect Vertex AI Vector Search with other tools

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Best Practices

Getting Started:
  1. Enable the Vertex AI Vector Search integration in your workspace settings
  2. Authenticate using Service Account
  3. Test the connection with a simple read operation
  4. Explore available actions for your use case
Important Considerations:
  • Ensure proper authentication credentials
  • Respect rate limits and API quotas
  • Review data privacy settings
  • Test operations in a safe environment first

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Troubleshooting

IssueSolution
Authentication failedVerify your Service Account credentials
Rate limit exceededReduce request frequency
Data not foundCheck permissions and data availability
Connection timeoutVerify network connectivity

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Support

For additional help with the Vertex AI Vector Search integration, contact support@langdock.com
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