Tahreem Rasul

A tutorial on building a semantic paper engine using RAG with LangChain, Chainlit copilot apps, and Literal AI observability. Tahreem Rasul · Follow Published in Towards Data Science · 17 min read · 8 hours ago — In this guide, I’ll demonstrate how to build a semantic research paper engine using Retrieval Augmented Generation (RAG). I’ll utilize LangChain as the main framework for building our semantic engine, along-with OpenAI’s language model and Chroma DB’s vector

A tutorial on why LLMs struggle with math, and how to resolve these limitations using LangChain Agents, OpenAI and Chainlit Tahreem Rasul · Follow Published in Towards Data Science · 12 min read · 5 hours ago — In this tutorial, I will demonstrate how to use LangChain agents to create a custom Math application utilising OpenAI’s GPT3.5 model. For the application frontend, I will be using Chainlit, an easy-to-use open-source Python framework. This generative