# Technical Document Extraction: Autonomous Data Agent System
## Data Sources
- **Database**: SQL, NoSQL
- **APIs**: Web, Services
- **Files**: CSV, JSON, etc.
## Data Tasks
- Feature Engineering
- Symbolic Equation Extraction
- Text2SQL
- Tabular QA
- Automated Data Repairs
- [Additional tasks represented by icons]
## Autonomous Data Agent Core
### Core Components
1. **Perception**
- Understand data
- Input: Data sources (Database, APIs, Files)
2. **Planning + Decomposition**
- Break tasks into subtasks
- Input: Perception output
3. **Action Reasoning**
- Decide action sequence
- Input: Planning + Decomposition output
4. **Grounding**
- Abstract action to Code/Natural Language/Calling APIs
- Input: Action Reasoning output
5. **Execution**
- Run queries/code
- Input: Grounding output
6. **Memory**
- Long/short-term storage
- Input: Refinement output
7. **Refinement**
- Feedback/reflection
- Input: Execution output
- Output: Memory and Perception (dashed feedback loop)
### Output
- **Results**
- Visualized output (chart icon)
- Input: Refinement output
## Flow Diagram
- **Directional Flow**:
`Perception → Planning + Decomposition → (Grounding | Action Reasoning) → Execution → Refinement → Memory → Perception`
- **Feedback Loop**:
`Refinement → Results` (dashed arrow)
## Key Observations
1. **Modular Architecture**: Components operate in a cyclical workflow with feedback mechanisms.
2. **Task Decomposition**: Emphasis on breaking complex tasks into manageable subtasks.
3. **Integration Points**:
- APIs and Files feed into Perception
- Execution connects to both Grounding and Refinement
- Memory serves as persistent storage across cycles
## Diagram Elements
- **Color Coding**:
- Blue boxes: Core components (Perception, Planning, etc.)
- Orange box: Memory (long/short-term)
- Gray box: Results output
- **Arrows**:
- Solid lines: Primary workflow
- Dashed lines: Feedback/refinement loops
## Technical Terminology
- **APIs**: Application Programming Interfaces
- **NoSQL**: Non-relational database systems
- **Text2SQL**: Natural language to SQL query conversion
- **Tabular QA**: Question answering over tabular data
