When building conversational AI with LangChain, the way you send and receive information is through messages. Each message has a specific role, helping you shape the flow, tone and context of the conversation. LangChain supports several message types: HumanMessage – represents the user’s input AIMessage – represents the model’s response SystemMessage – sets the behavior or rules forContinueContinue reading “Build an LLM Chat App Using LangGraph, OpenAI and Python—Part 2: Understanding SystemMessage”
Tag Archives: GenAi
Build an LLM Chat App Using LangGraph, OpenAI and Python—Part 1
Everyone is excited about GenAI, chatbots and agents—and for good reason. This article offers a very beginner-friendly introduction to building with OpenAI and LangChain using Python, helping you take your first steps into the world of AI development. This article covers the following topics: Installation of dependencies Connecting to the OpenAI GPT model Creating yourContinueContinue reading “Build an LLM Chat App Using LangGraph, OpenAI and Python—Part 1”
Step-by-Step Guide: Using LangExtract with OpenAI
Recently, Google launched a library called LangExtract. LangExtract is an open-source Python library that enables developers to transform unstructured text into structured information using large language models (LLMs). It offers a lightweight interface compatible with multiple model backends, including Gemini and GPT, making it well-suited for processing large unstructured text into structured information. Some key featuresContinueContinue reading “Step-by-Step Guide: Using LangExtract with OpenAI”
Async Programming in Python
Python async programming is not the same as multi-threading. Even though they both achieve concurrency, multi-threading tasks run in parallel on multiple threads, whereas async programming functions run asynchronously using the event loop. Async programming is most useful when your program spends a lot of time waiting for input or output (I/O), like: Web scraping many pages atContinueContinue reading “Async Programming in Python”
Integrating OpenAI’s GPT with Angular: A Step-by-Step Guide
In this article, we’ll walk through the step-by-step process of integrating the OpenAI GPT model into an Angular application. To get started, create a new Angular project and follow each step as you go along. Please note that you’ll need a valid OpenAI API key to proceed. By default, newer versions of Angular projects doContinueContinue reading “Integrating OpenAI’s GPT with Angular: A Step-by-Step Guide”
GenAI for Beginners: What is the Top-p sampling in a model
When working with Large Language Models (LLMs), it is essential to understand specific key parameters that influence the model’s behaviour. Two of the most critical parameters are: Temperature Top-P (nucleus) In the last part, we discussed the Temperature parameter. Read here – https://debugmode.net/2025/06/12/genai-for-beginners-what-is-the-temperature-parameter-in-a-model/ Top-p sampling, also called nucleus sampling, is a method used to controlContinueContinue reading “GenAI for Beginners: What is the Top-p sampling in a model”
Dhananjay Kumar 