Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
A Repo For Document AI
Improved file parsing for LLM’s
Tutorial on how to deskew (straighten) text images
Integrate AI-powered Document Analysis Pipelines
A Python pipeline tool and plugin ecosystem for processing technical documents. Process papers from arXiv, SemanticScholar, PDF, with GROBID, LangChain, listen as podcast. Customize your own pipelines.
An OCR based document parser to extract information from identity document images
An open source framework for Retrieval-Augmented System (RAG) uses semantic search helps to retrieve the expected results and generate human readable conversational response with the help of LLM (Large Language Model).
DF Extract Lib
The invoice, document, and résumé parser powered by AI.
Extract text from your DOCX documents.
Resume Parsing app to extract information using AI
Build a RAG preprocessing pipeline
🧰 Tools to Upload/Parse Documents to 'docparser' and Retrieve Extracted Results
A simple library that I use for web scraping. Uses htmlparser2 to parse dom.
Graphlit Platform
Ihugure Chatbot Streamlit User Interface
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