An AI based app for windows to know - what is going wrong with your system, how to mitigate it and automatically resolve it
-
Updated
Jul 30, 2025 - Python
An AI based app for windows to know - what is going wrong with your system, how to mitigate it and automatically resolve it
A chatbot project using LangChain, LLM, and Retrieval-Augmented Generation (RAG) for job search and reemployment support.
LangChain-powered LLM chain to extract product insights from customer sentiment — no rules, just prompts.
GraphRAG: A scalable Docker-based Retrieval-Augmented Graph system built with LangChain. Integrates knowledge graph embeddings, vector retrieval, and LLM prompts seamlessly. Includes dynamic Docker orchestration, modular components, and clear usage examples.
Text summation using python, deep learning, machine learning, transformer, huggingface, openai and langchain
This project is a reference implementation of a multi-agent AI system that automates the entire e-commerce trend discovery workflow. A central "manager" agent coordinates a team of specialized sub-agents to perform tasks like data analysis, web validation, report generation, and image creation.
This project is using the LangChain library and OpenAI to create an agent that can answer questions about a dataset (in this case, the iris dataset). The agent is created using a CSV agent and an OpenAI language model, which allows the user to interact with the data using natural language queries.
JupyterLab on JupyterHub with AI libraries
Chat with your PDF!
Chat with your pdf files.
The CSV Data Analyzing Tool is a versatile utility that allows you to analyze and gain insights from any CSV file effortlessly. Powered by LangChain, Python, the Pandas library, OpenAI API, and Streamlit for the user interface, this tool is designed to make data exploration and answering questions related to CSV data files a breeze...
Add a description, image, and links to the langchain topic page so that developers can more easily learn about it.
To associate your repository with the langchain topic, visit your repo's landing page and select "manage topics."