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An AI-driven tool integrating Abaqus and OpenAI's LLM for automating finite element simulations, including input file generation, job execution, stress extraction, parametric studies, and sensitivity analysis, streamlining complex workflows for enhanced decision-making.
DocChat is an AI-powered Multi-Agent RAG system using Docling for structured document parsing and BM25 + vector search retrievers to retrieve fact-checked answers from PDFs, DOCX, and text files, preventing hallucinations. 🚀
This project is a modular AI chatbot framework that allows dynamic interaction with multiple LLM providers using LangGraph, LangChain, Streamlit, and FastAPI. It also optionally integrates search tools such as Tavily for online augmentation.
LinkMind is an intelligent conversational ReAct agent built with LangChain and Streamlit. It leverages a chain-of-thought reasoning approach integrated with web search, document scraping, and FAISS-based vector search powered by Mistral-7B-Instruct-v0.3 to deliver detailed, context-aware responses while maintaining session memory.