Cartographic rendering and mesh analytics powered by PyVista 🌍
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Updated
Oct 3, 2025 - Python
Cartographic rendering and mesh analytics powered by PyVista 🌍
Build super simple end-to-end data & ETL pipelines for your vector databases and Generative AI applications
Customized bot with langchain and gpt4
Benchmarking unstructured data extraction libraries
Extract your docs (CSV, PDF, JSON, HTML, DOCS, Sheets and more) for your own GPT and LLM projects using Unstructured.io via streamlit
UnsServ implementation in Python
The PDF Chatbot project uses advanced NLP models and Unstructured.io for parsing complex PDFs, enabling streamlined extraction and querying of information, including tables, graphs, and images, through a user-friendly interface.
Generating Structured Local Area Model (SLAM) grids from unstructured meshes
Research assistant
Scikit Topology Optimization with Scipy Family
This is the backend for a RAG system that runs on Docker Compose. It registers documents in a wide range of file formats, which can be searched using the MCP server.
Classify patents into one of the several categories
A local rag demo
TorchON : Optimized information retrieval application creation and deployment - easily make an good knowledge retrieval app, then share it securely with your colleagues
An Euler equation solver developed in Python using the NUMBA JIT
An Agentic AI Based Application used for analyzing the document and answering the questions based on NLP.
The Multimodal RAG System enables users to get precise answers to their questions by retrieving information from specific documents.
Smart Quiz Generator is a Streamlit-based app that uses GPT-4 to create quizzes (MCQ, True/False, or Fill-in-the-Blank) from your own documents (PDF/TXT) or web pages. It processes content, stores it in a FAISS vector store for quick retrieval, and generates customized quizzes based on a chosen topic.
Add a description, image, and links to the unstructured topic page so that developers can more easily learn about it.
To associate your repository with the unstructured topic, visit your repo's landing page and select "manage topics."