Embed

Agent Kit Embedded Chat

A embedded chat widget that can be used to chat with your customers. You can index PDF or web pages and chat with them.

Agent Kit Embedded Chat Screenshots 1
Agent Kit Embedded Chat Screenshots 2
Agent Kit Embedded Chat Screenshots 3

Overview

A embedded chat widget that can be used to chat with your customers. You can index PDF or web pages and chat with them.

Key Features

✅ PDF Indexing

Index PDF files and chat with them

✅ Web Page Indexing

Index web pages and chat with them

✅ RAG Search

Search the indexed data and chat with the results

✅ Customizable

Customize the chat widget to your liking

✅ Multi-Language Support

Support multiple languages

✅ Customizable UI

Customize the UI to your liking

Quick Start

1

Click "Deploy AgentKit" to begin

2

Configure integration settings

3

Test in sandbox environment

4

Deploy to production

Estimated setup time

~10 minutes

Vertical use cases

Customer Support

Provide customer support with AI-powered chat

Sales

Provide sales support with AI-powered chat

Marketing

Pitch your products multiple times with AI-powered chat

Education

Educate your students with AI-powered chat

Product Support

Provide product support with AI-powered chat

Content Creation

Create content with AI-powered chat

FAQ

The system uses Gemini 2.0 flash lite model for deep analysis, providing consistent and objective evaluations based on the indexed data. All recommendations include detailed explanations.
Yes, the chat widget is fully customizable in lamtic studio with multiple options to customize the appearance and behavior.
The system supports PDF and webpages
The data is stored in Lamatic's database and is processed in real-time and displayed to the user. No data is permanently stored without your explicit implementation.
Yes, you can integrate this with your website by using the embed code provided in lamtic studio. You can also customize the chat widget to your liking.
The cost per chat is $0.0002 per token. You can check the cost in the _meta field in responses for exact token costs.

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