Compatible with every major AI agent and IDE
Describe table on Oracle Vector DB
Describe table columns and explicit data types including VECTORs
Execute sql query on Oracle Vector DB
WARNING: Output payload size is inherently limited, restrict rows fetched (FETCH FIRST 100 ROWS ONLY) to ensure stability. Execute arbitrary SQL query against the Oracle runtime via ORDS
Get database version on Oracle Vector DB
Get exact Oracle DB Runtime version banner
List tables on Oracle Vector DB
List accessible tables in the current Oracle schema
List vector indexes on Oracle Vector DB
List specialized AI Vector search indexes (HNSW, IVF) instantiated
Table stats on Oracle Vector DB
Get table cardinality and optimizer statistics
Vector search on Oracle Vector DB
1, -0.4, 0.5]` against a strict `VECTOR` column natively inside Oracle DB, sorting and fetching the nearest neighbors. Execute Vector similarity search via Oracle 23ai native VECTOR_DISTANCE
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
Does it work with Oracle Autonomous Database?
Yes. Oracle Autonomous Database on OCI has ORDS enabled by default. Use the ORDS URL from your ADB instance (e.g., https://xxxxx.adb.us-ashburn-1.oraclecloudapps.com/ords), your schema name (typically ADMIN), and the admin credentials. The VECTOR type is available on all 23ai-compatible instances.
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.
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.
Triggering Oracle Vector DB via Natural Language
Securely interface Claude Code, ChatGPT, and Cursor with the Oracle Vector DB API through semantic routing and standardized natural language triggers.
Automating vector database with AI
Use the Oracle Vector DB server to execute vector database operations from your AI agent. The protocol manages state and authentication for continuous industry titans workflows.
Prompting sql Workflows
Connect the Oracle Vector DB server to enable sql workflows. The integration provides structured schemas for Claude to mutate industry titans data.
Oracle Vector DB. 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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