> ## Documentation Index
> Fetch the complete documentation index at: https://docs.rovax.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Tables — Overview

**Tables** in Timely.ai are dynamic data structures that allow your Agents to **store, access, and manage information** in real time.\
They act as lightweight, AI-friendly databases that Agents can read from and write to — supporting structured workflows such as contact registration, lead tracking, unresolved inquiries, and feedback collection.

A Table can be fully managed inside the Builder interface, with tools for creating, editing, and linking it to one or more Agents.

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## 🧩 Core Concepts

| Concept             | Description                                                                              |
| ------------------- | ---------------------------------------------------------------------------------------- |
| **Table**           | A dynamic dataset used by Agents to store or retrieve information.                       |
| **Columns**         | Define the structure of your Table — similar to database fields.                         |
| **Rows**            | Each entry or record in your Table.                                                      |
| **Semantic Search** | A feature that allows Agents to query data using meaning and context, not only keywords. |

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## 💡 Why Tables Matter

Tables extend your Agents’ memory and logic capabilities by providing:

1. **Persistent storage** — Agents can log user interactions or unresolved questions.
2. **Structured intelligence** — Data can be filtered, queried, and reasoned upon.
3. **Collaboration** — Shared datasets can be used across multiple Agents or Squads.
4. **Automation** — Tables integrate seamlessly with workflows, triggers, and tools.

Example use cases:

* “Unanswered Questions” log for training or review.
* “Contacts” table for lead management.
* “Feedbacks” table for quality tracking.