# 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

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

### Knowledge Bases

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**](/data-and-knowledge/introduction.md) - Overview of data management in AgenticFlow
2. Choose your data type:
   * Structured data → Data Tables
   * Unstructured documents → [Knowledge Bases](/data-and-knowledge/knowledge-base-management.md)

## Common Use Cases

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

## Related Sections

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


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.agenticflow.ai/data-and-knowledge/06-data-knowledge.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.