Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.

Open-source spreadsheets platform for deep research and document processing

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

High-quality search for AI-native applications.

A small, embeddable BASIC interpreter in C.

An unstrctured 3-D Euler equation solver ( tetrahedral cell type)

Advanced RAG pipelines for medical (HealthBench, MedCaseReasoning, MetaMedQA, PubMedQA) and financial (FinanceBench, Earnings Calls) QA. LangGraph orchestration + BAML structructed generation, Milvus Hybrid search (Dense + BM25 + RRF), three-layer Metadata Enrichment, Contextual AI instruction-following reranker, and DeepEval evaluation.

Customized bot with langchain and gpt4

Scikit Topology Optimization with Scipy Family

A E2E Sample App showcasing how Data Cloud powers Agentforce for the retail industry

An algorithm that carries out both large-loop and small-loop TEM modeling.

Benchmarking unstructured data extraction libraries

PDF 문서에서 GPU 가속 처리로 고품질 질의응답(QA) 데이터를 자동 생성하고 LLM을 효율적으로 파인튜닝하는 솔루션입니다. Unstructured 라이브러리와 AWS Bedrock Claude로 도메인 특화 QA 쌍을 생성하고, LoRA 기법으로 경량 모델을 훈련합니다.

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

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

A E2E Sample App showcasing how Data Cloud powers Agentforce for the hospitality industry