# Data & Knowledge Hub

Store, manage, and retrieve both structured and unstructured data in AgenticFlow.

## Overview

AgenticFlow provides powerful data management capabilities through two complementary systems:

* **Datasets** - Structured data storage using data tables
* **Knowledge Bases** - Unstructured document storage with RAG (Retrieval-Augmented Generation)

## Quick Links

### [Datasets & Data Tables](https://docs.agenticflow.ai/data-and-knowledge/broken-reference)

Store and query structured data in spreadsheet-like tables. Perfect for customer records, product catalogs, and task management.

### [Knowledge Bases](https://docs.agenticflow.ai/data-and-knowledge/broken-reference)

Upload documents and enable AI agents to retrieve relevant information using semantic search. Ideal for documentation, support articles, and research papers.

## Getting Started

1. [**Introduction**](https://docs.agenticflow.ai/data-and-knowledge/introduction) - Overview of data management in AgenticFlow
2. Choose your data type:
   * Structured data → [Data Tables](https://docs.agenticflow.ai/data-and-knowledge/broken-reference)
   * Unstructured documents → [Knowledge Bases](https://docs.agenticflow.ai/data-and-knowledge/knowledge-base-management)

## Common Use Cases

* Customer data management
* Product catalogs
* Document Q\&A systems
* Internal wikis
* Research databases
* Support ticket systems

## Related Sections

* [Agents](https://docs.agenticflow.ai/ai-agents/03-agents) - Use data in AI agents
* [Workflows](https://docs.agenticflow.ai/workflows/04-workflows) - Process data with automation
* [Integrations](https://docs.agenticflow.ai/integrations/07-integrations) - Connect to external data sources