Cartographic rendering and mesh analytics powered by PyVista 🌍
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Updated
Apr 5, 2026 - Python
Cartographic rendering and mesh analytics powered by PyVista 🌍
PDFStract - Extract, Chunking and Embedding Layer in Your RAG Pipeline - Available as CLI - WEBUI - API
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
Advanced RAG Pipelines and Evaluation
Generating Structured Local Area Model (SLAM) grids from unstructured meshes
Extract your docs (CSV, PDF, JSON, HTML, DOCS, Sheets and more) for your own GPT and LLM projects using Unstructured.io via streamlit
Scikit Topology Optimization with Scipy Family
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.
UnsServ implementation in Python
Classify patents into one of the several categories
A local rag demo
Semantic search for MediShield Life policy document
Production-grade multimodal RAG backend — async document ingestion, 4 retrieval modes, agentic generation with guardrails, powered by FastAPI, LangChain, and Supabase pgvector.
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.
An Euler equation solver developed in Python using the NUMBA JIT
TorchON : Optimized information retrieval application creation and deployment - easily make an good knowledge retrieval app, then share it securely with your colleagues
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