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Kathan Soni

Intelligent News Summarization with LangGraph

Intelligent News Summarization with LangGraph: Your AI Solution

In today’s fast-paced world, staying updated with the latest news can be overwhelming. With countless articles published every day, filtering through the noise to find what matters most can feel like an impossible task. This is where AI comes to help. In this blog, we’ll explore how LangGraph helps to build intelligent news summarization . Let’s dive in! Tools for… Continue readingIntelligent News Summarization with LangGraph: Your AI Solution

Long-Term memory in LangGraph

Enhance LangGraph with Long-Term Memory: A Beginner’s Guide

Memory plays a vital role in any workflow within LangGraph, as it enables tailored outputs based on the conversation’s history. To support this functionality, LangGraph offers both short-term and long-term memory options. In this article, we will guide you through enhancing LangGraph with long-term memory to improve AI performance and create more personalized interactions. What is long-term memory As the… Continue readingEnhance LangGraph with Long-Term Memory: A Beginner’s Guide

Trustcall for Data Extraction and Long-Term Memory Storage in LangGraph

Ultimate Guide: Using Trustcall for Data Extraction and Long-Term Memory Storage in LangGraph

LangGraph allows you to store both short-term memory, which is accessible within the same thread, and long-term memory, which is accessible across threads, making it versatile for various use cases. However, extracting data from complex JSON schemas can be unreliable and costly. This is where Trustcall comes in—a powerful Python library that simplifies data extraction and enables efficient long-term memory… Continue readingUltimate Guide: Using Trustcall for Data Extraction and Long-Term Memory Storage in LangGraph

How to Use Google Maps API in Python

How to Use Google Maps API in Python: A Step-by-Step Guide

The Google Maps API offers a wide range of functionalities, including geocoding, reverse geocoding, calculating distances, and displaying maps. Integrating this powerful API into Python applications can significantly enhance geolocation capabilities. In this blog, we’ll walk through the steps to use the Google Maps API in Python. Why Use Google Maps API in python? Google Maps API allows developers to… Continue readingHow to Use Google Maps API in Python: A Step-by-Step Guide

Top 5 Methods to Create a State in LangGraph

Top 5 Methods to Create a State in LangGraph

The state is a crucial component in LangGraph. Using state, you can transfer information into different nodes of the graph. Due to LangGraph’s flexibility, There are many ways to define State in LangGraph. Let’s check all the other ways. Define state in LangGraph by inheriting classes In Python, certain predefined classes, such as TypedDict and Pydantic, allow their properties to… Continue readingTop 5 Methods to Create a State in LangGraph

React agent with LangGraph

Effortlessly Create an Amazing ReAct Agent with LangGraph

Langgraph is a powerful library that helps build AI Agents for your goal-specific tasks. Due to its flexibility and robustness, anyone can make any AI agent easily. Today, in this blog you will learn exactly how to create a simple React agent using LangGraph. If you are new to LangGraph, I suggest first understanding the core concepts of LangGraph from… Continue readingEffortlessly Create an Amazing ReAct Agent with LangGraph

LangGraph: An Introduction to the LangGraph Components

What is LangGraph? Langraph is an open-source framework designed to build applications with language models (LLMs) using a graph-based approach. LangGraph is used to create AI Agent that use to do automation tasks. It allows developers to create workflows where tasks are broken into nodes, each representing a specific function, such as calling an LLM, executing a tool, or interacting… Continue readingLangGraph: An Introduction to the LangGraph Components

FitnessAI Unlocking the Power of Crew AI, ChatGPT, and Streamlit

FitnessAI: Unlocking the Power of Crew AI, Langchain, and Streamlit

Ready to elevate your fitness journey? AI has got you covered! In this blog, we’ll dive into building a FitnessAI app using CrewAI, Langchain, and Streamlit. This will deliver personalized exercise recommendations tailored to your goals, enhanced by real-time data scraping to keep you on track. Plus, you’ll learn how to leverage CrewAI to effortlessly create amazing agents. Excited to… Continue readingFitnessAI: Unlocking the Power of Crew AI, Langchain, and Streamlit

Appointment Bot using Langchain and Google sheet

How to make an appointment bot using Langchain and Google Sheets in Python easily

Introduction In this blog, we’ll dive into the fascinating world of building an appointment bot using Langchain and integrating it with Google Sheets using Python. Imagine having an automated system that updates your Google Sheets for efficient record-keeping. Make an API in Google Sheet Before creating the AI chatbot that helps to create an appointment. We need to create one… Continue readingHow to make an appointment bot using Langchain and Google Sheets in Python easily

Easy way to detect isolated and overlapping geo polygons in Python

Easy way to detect isolated and overlapping geo polygons in Python

There are many scenarios in which you have to detect any type of isolated polygons and overlapping polygons. But you also need to make it faster and 100 percent accurate when you pass the large numbers of polygons for processing. In this article, you’ll see exactly how to detect isolated and overlapping geo polygons in Python. Why do you need… Continue readingEasy way to detect isolated and overlapping geo polygons in Python