# Storage

### **Overview**

The **Storage** feature in UPTIQ Workbench functions similarly to **Tables** but is specifically designed for **document storage**. While **Tables** handle structured data storage, **Storage** allows AI agents to **store, retrieve, and manage documents** across workflows. This ensures that AI-driven processes have **seamless access to necessary files** for decision-making, document processing, and data extraction.

With **Storage**, developers can:\
✅ Store various **document types** (e.g., PDFs, images, scanned forms) that AI agents process.\
✅ Retrieve stored documents dynamically **within workflows**.\
✅ Enable AI models to **reference documents** for information extraction and analysis.

### **How Storage Works in AI Workflows**

To facilitate document handling, UPTIQ provides **specialized workflow nodes** for **reading and writing** storage data.

**Storage Write Node** → Saves documents into a configured storage location.\
**Storage Read Node** → Retrieves documents using a unique **Storage ID**, allowing workflows to access required files dynamically.

📌 **For detailed node configuration, refer to:**\
➡ Storage Read Node\
➡ Storage Write Node

### **Key Features & Benefits of Storage**

✅ **Seamless Document Management** – Store AI-processed files and retrieve them across workflows as needed.

✅ **Workflow Automation** – Enable AI agents to dynamically fetch relevant documents for **review, processing, or analysis**.

✅ **Persistent File Access** – Unlike transient data passed between workflow nodes, documents stored via **Storage** remain accessible for future use.

✅ **Optimized for AI Document Processing** – AI agents can **extract, summarize, or validate information** directly from stored files, making workflows more intelligent.

✅ **Flexible & Scalable** – Designed to support **various file formats**, making it ideal for applications such as **loan origination, legal document processing, financial analysis, and compliance verification**.

### **Best Practices for Using Storage in Workflows**

**Organize Storage Efficiently** – Use structured storage locations for different file types (e.g., applications, invoices, contracts).\
**Utilize Storage IDs for Retrieval** – Always reference documents using **Storage IDs** to ensure precise access.\
**Optimize File Handling** – Store **only necessary documents** to manage storage efficiently and reduce retrieval times.\
**Ensure Compliance & Security** – Implement **proper access controls** to prevent unauthorized document access.

### **Key Takeaways for Developers**

✅ **Use Storage for Persistent Document Handling** – AI workflows can dynamically fetch and process documents stored in Storage.\
✅ **Leverage Read/Write Nodes for Automation** – Automate document storage and retrieval within agent workflows.\
✅ **Integrate with AI-Driven Workflows** – Enable AI agents to extract insights from stored documents, improving automation and decision-making.

By integrating **Storage into workflows**, developers can **enhance AI-powered document management**, making AI agents **more efficient and capable of processing real-world business documents**.