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
Category: AI & Search
Availability: All workspace plans
Available Actions
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 searchpublicDomainName
(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 infoprojectIdNumber
(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 listedregion
(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-central1indexEndpointId
(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 infodeployedIndexId
(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
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
Best Practices
Getting Started:
- Enable the Vertex AI Vector Search integration in your workspace settings
- Authenticate using Service Account
- Test the connection with a simple read operation
- 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
Troubleshooting
Issue | Solution |
---|---|
Authentication failed | Verify your Service Account credentials |
Rate limit exceeded | Reduce request frequency |
Data not found | Check permissions and data availability |
Connection timeout | Verify network connectivity |