Guides

The guides section is work-in-progress. We want to collect all end-to-end examples of how to use Lamatic.ai here including Tutorials, videos and other external resources.

Tutorials

Beginner

Get-started

Welcome to Lamatic.ai! This guide will show you how to create your first AI-powered API using the Gemini model.

Building Chatbot

In this Guide, We’ll walk you through creating a chatbot using Lamatic.ai, leveraging Gemini as the large language model (LLM) for content generation.

Getting Started with the Search Widget

The Search Widget leverages AI-driven search technology to deliver more accurate and relevant results by understanding query context and meaning rather than just matching keywords. Now, you can integrate this powerful search functionality directly into your website.

Streamlining Workflow Design with Execute Flow

AI Review Responder

This guide will help you build an AI-powered review analysis and response system.

Automated Image-Based Product Identification

This guide will help you build an AI-powered product identification system.

Plant Care With AI

This guide will help you build an AI-powered plant identification system that provides detailed care instructions.

Recipe Generation With AI

This guide will help you build an AI-powered recipe suggestion system that generates recipes based on images of food, offering detailed cooking instructions.

Web Scraping and Q&A System With AI

This guide will help you build an AI-powered system that scrapes data from a website, processes it with AI, and enables users to ask questions based on the extracted information.

AI Currency Converter

This guide will help you build AI-powere real-time currency converter that fetches INR to USD exchange rates . You'll learn how to create and implement custom tools that enable AI models to interact with external functions and APIs.

AI Email Summarizer

This guide will help you build an AI-powered email summarization tool. The system processes email content, extracts key information, and generates concise summaries, allowing users to quickly understand important details without reading lengthy messages.

AI Invoice Summarizer

This guide will help you build an AI-powered invoice summarization system that processes invoices, extracts key details, and generates structured JSON output.

AI Powered Event Insights

This guide will help you build an AI-powered event data processing system. The workflow collects event data, processes it through a text generation node, and allows users to ask questions to receive AI-generated insights.

AI Powered Image Description Generator.

This guide will help you build an AI system that takes an image URL as input and generates a detailed description using a multimodal node. The system processes visual data, analyzes key elements within the image, and produces meaningful text-based descriptions, enabling automated image understanding for various applications.

AI powered Article Summarizer

This guide will help you build an AI-powered article summarization system. The workflow takes an article URL as input, uses a Firecrawl scraper node to extract the content, and passes the data to an LLM node to generate a concise summary. This automation enables quick and efficient information retrieval, making it easier to digest lengthy articles.

Intermediate

Powerful Knowledge Chatbot with Firecrawl and RAG

RAG with Google Drive

Learn how to build an intelligent chatbot that can understand and respond to questions based on your Google Drive documents using Lamatic.ai and RAG technology.

RAG with AWS S3

Build a Chatbot with Retrieval-Augmented Generation (RAG) Using AWS S3

AI Candidate Screener

This guide will help you build an AI-powered GitHub profile screening system using Lamatic.ai's flow builder.

AI Linkedin Post Generator

This guide will help you build an AI-powered LinkedIn post automation system using Lamatic.ai's flow builder.

AI Recipe Maker with Memory Store

This guide will help you build an AI-powered recipe generation system with memory. The system remembers user preferences, dietary restrictions, and past interactions to generate personalized recipes. Whether you have allergies, specific tastes, or favorite ingredients, the AI tailors its suggestions to create customized cooking instructions that suit your needs.

RAG Implementation with Lamatic

This guide will help you build an AI-powered retrieval-augmented generation (RAG) system using Lamatic. The workflow retrieves relevant information from a text, enhances the input with contextual data, and processes it through an RAG node to generate accurate and context-aware responses. By implementing RAG, you can improve AI-generated answers with real-time, up-to-date knowledge retrieval, making the system more reliable and informative.