Compatible with every major AI agent and IDE
Get datastore details on Vertex AI Search
Retrieves configuration and metadata for a specific data store
Get grounded answer on Vertex AI Search
Returns a natural language response based on your private data. Retrieves an AI-generated answer grounded in the documents of a data store
Get recommendations on Vertex AI Search
Provide a data store ID and user event data as a JSON object. Retrieves personalized recommendations based on user events
List data stores on Vertex AI Search
Lists all data stores in the Vertex AI Search collection
List datastore documents on Vertex AI Search
Provide data store and branch IDs. Lists all indexed documents within a specific data store branch
List search engines on Vertex AI Search
Lists all search engines configured in the collection
Search documents on Vertex AI Search
Provide a data store ID and the query text. Performs a search query across documents in a specific data store
How Vinkius protects your data
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
How do I know which data stores are available to search?
Ask your agent to list your data stores. It will return all configured data stores in your collection along with their IDs and names. You can then use these IDs to perform targeted semantic searches or browse specific document branches.
What can AI Agents do with Vertex AI Search?
The Vertex AI Search integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
LLM Orchestration for enterprise search
Build automated workflows involving enterprise search by connecting Vertex AI Search. It provides Claude and ChatGPT with direct API hooks into your ai frontier ecosystem.
Autonomous grounding Strategies
Integrate Vertex AI Search to access native grounding capabilities. This allows LLMs to perform secure, deterministic execution of ai frontier tasks without hard-coded API scripts.
Vertex AI Search. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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