Compatible with every major AI agent and IDE
Delete vector on Vald
This action is irreversible. Permanently removes a vector from the Vald index
Get engine info on Vald
Retrieves operational information and health of the Vald engine
Get vector details on Vald
Retrieves the raw vector data for a specific ID
Insert vector on Vald
Provide a unique ID and the vector as a JSON array. Inserts a new vector into the Vald index
Search vectors on Vald
Provide a query vector as a JSON array of floats. Performs a nearest neighbor vector similarity search
Update vector on Vald
Provide the existing ID and new vector array. Updates an existing vector in the Vald index
How Vinkius protects your data
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
How do I ensure my Vald cluster is healthy right from my CLI?
Skip complex diagnostics loops. Instruct your agent to get Vald internal engine info. It will interface directly via gRPC/REST and pull down cluster metrics including operational status, agent versions, and basic diagnostic health. This is vital for MLOps managing production RAG pipelines needing constant reassurance.
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 if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Triggering Vald via Natural Language
This integration supports direct MCP execution, enabling your chatbots to query and modify data within these specific environments.
Mastering vector search with Agents
The Vald server supports direct MCP connections for vector search. This provides Claude with the required permissions to execute databases functions.
Intelligent ann Management
The Vald toolkit translates Claude's commands into ann operations. The MCP server ensures accurate delivery within the databases ecosystem.
Vald. 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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