> ## Documentation Index > Fetch the complete documentation index at: https://oxy.tech/docs/llms.txt > Use this file to discover all available pages before exploring further. # Ontology View, Agentic Workflows, PostgreSQL Migration, and Automation Renaming > Interactive graph visualization of your entire data project: **December 18, 2025** ### New Features #### Ontology View Interactive graph visualization of your entire data project: * **Asset Mapping** - Visual representation of all project components: data assets (tables, views, topics, entities), AI assets (agents), automation assets (workflows, apps), and SQL queries * **Relationship Discovery** - See how data flows through your system from database tables → views → topics → agents/automations * **Quick Navigation** - Click any node to view details and jump directly to the file in the IDE * **Impact Analysis** - Understand dependencies before making changes to avoid breaking connections * **Focused Filtering** - Filter by specific asset types to isolate particular areas of your project The Ontology view provides a complete visual index of your Oxygen project, making it easier to understand, navigate, and maintain your data infrastructure. It's essentially a "map" of your entire data ecosystem showing how AI agents, automations, and data models work together. Image Image #### Agentic Workflows Autonomous agent-driven workflows with dynamic decision making: * **Finite State Machine Architecture** - Structured state transitions with start, end, and intermediate states instead of fixed task sequences * **Autonomous Decision Making** - Agents select which transition to execute based on context and LLM reasoning * **Multi-Step Reasoning** - Iterative reasoning with plan revision and error recovery capabilities * **Dynamic Execution** - Non-linear flow based on agent intelligence rather than predefined sequences **File Extension**: `.aw.yml` **Available Transitions**: Query execution, visualization creation, insight generation, data app building, and sub-workflow execution Agentic workflows enable interactive data exploration, adaptive dashboards, multi-step analytics, and natural language question answering over data. Unlike traditional workflows (DAGs), agentic workflows use FSM architecture allowing agents to autonomously navigate complex processes. Example configuration: yaml `start: mode: plan instruction: | You are a Data Analyst expert... next: [query, visualize, insight, data_app]transitions: - type: query - type: visualize - type: insightend: mode: synthesize output_artifact: app` Image Image #### PostgreSQL as the exclusive database solution Full transition from SQLite to PostgreSQL as the exclusive database solution: * **Zero-Config Local Development** - New `oxy start` command manages PostgreSQL in Docker with no manual setup required * **Docker Abstraction** - Docker runtime fully abstracted away (only requirement: Docker installation) * **Migration Tooling** - Comprehensive `oxy migrate-sqlite` command for seamless transition from existing SQLite databases * **Status Monitoring** - New `oxy status` command to check PostgreSQL service health * **Backward Compatible** - `oxy serve` continues to work as usual, but we heavily encourage users to migrate to PostgreSQL as soon as possible The PostgreSQL setup runs inside Docker while `oxy serve` runs on the host machine, providing enterprise-grade database capabilities with the simplicity of SQLite Image #### Automation Renaming Conceptual update for clarity: * **Workflows → Automations** - Workflows are now called automations to better reflect their purpose * **File Extension Change** - `.workflow.yml` is now `.automation.yml` * **Consistent Terminology** - Updated documentation and UI to reflect automation terminology ### Platform Improvements * **Dependencies Update** - Updated all dependencies and rust to latest versions for improved performance and security