Forem: Nariman Esmaiely fard

Build a Local AI Agent with MCP Tools Using GPT-OSS, LangChain & Streamlit

Nariman Esmaiely fard — Sat, 16 Aug 2025 19:17:19 +0000

Want to run your own ChatGPT locally on your computer without subscriptions or API costs?

In this video, we will build a local AI agent using Ollama's gpt-oss model (from OpenAI), LangChain, and Streamlit. This agent will connect to the internet using LangChain MCP adapters and Tavily, allowing it to search the web and give accurate answers to your questions. This way, you can have a local ChatGPT on your personal computer without paying for any subscription.

I’ll guide you step by step through the process of creating a LangGraph agent that uses the gpt-oss model as the LLM, integrating the agent with MCP tools, and building a simple but clean UI using Streamlit.

If you’re curious about the new gpt-oss model, or you want to know how you can connect local LLM agents with MCP servers, this video is for you.

You can watch it here:

Use RAG to chat with PDFs using Deepseek, Langchain and Streamlit

Nariman Esmaiely fard — Sun, 26 Jan 2025 12:26:32 +0000

In this video, we will build a RAG (Retrieval-Augmented Generation) system using Deepseek, LangChain, and Streamlit to chat with PDFs and answer complex questions about your local documents. I will guide you step by step in setting up Ollama's Deepseek-r1 llm model, which features strong reasoning capabilities, integrating it with a LangChain-powered RAG, and then showing you how to use a simple Streamlit interface so you can query your PDFs in real time. If you’re curious about Deepseek, reasoning models, LangChain, or how to build your own AI chatbot that handles complicated queries, this video is for you.

ChatGPT vs Gemini: Which one can write better code?

Nariman Esmaiely fard — Mon, 11 Mar 2024 17:40:18 +0000

In this video, we're going to take a closer look at two big names in AI and coding: ChatGPT and Gemini. Ever wondered which one can help you more with your coding projects, boost your efficiency, or change the way you approach programming problems? We're here to find out by comparing them head-to-head. Get ready to see ChatGPT and Gemini put to the test across five important areas: generating code, solving problems, debugging, refactoring, and SQL optimization. Let's get started!