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
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
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
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
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
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
When working with geospatial data in Python, you might find yourself needing to create a perfectly round circle. The Shapely library is a popular tool for this task, but it’s not always as straightforward as it seems. Here is given code to create circle using Shapely library in python. The Shapely’s Buffer Function Dilemma You might think that Shapely’s buffer… Continue readingHow to Make a Circle Using the Shapely Library in Python
Let’s see how you can calculate the standard deviation or variance of the tensor. As you know while building a neural network, you have to perform aggregation on the tensor often. Finding maximum, minimum, and sum is done via the same piece of code with very little change in it. But finding variance or standard deviation will require some tweaks.… Continue readingEasy way to calculate the standard deviation or variance of the tensor in TensorFlow?
OpenAI’s ChatGPT-3(Generative Pre-trained Transformer) is one of the most powerful AI chatbots right now. You can ask anything and it gives the precise answers of it. OpenAI also provides API to implement it in the programming. In this article, we will see how to create a Chat GPT-3 web app with Streamlit in python using API. After creating this, your… Continue readingHow to Create A Chat GPT-3 Web app with Streamlit in Python
To reduce features in a dataset, two methods are there in machine learning: Feature selection and Feature extraction. Recursive feature elimination or in short RFE is the feature selection method. Here is given a complete guide on Recursive Feature Elimination for feature selection in machine learning. What is RFE? In Feature extraction, two or more features are combined from existing… Continue readingRecursive Feature Elimination(RFE): Effective Feature selection method in machine learning