RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
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Updated
Jul 5, 2024 - Python
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
Integrate AI-powered Document Analysis Pipelines
Tutorial on how to deskew (straighten) text images
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 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).
The invoice, document, and résumé parser powered by AI.
DF Extract Lib
Extract text from your DOCX documents.
Python client library for Graphlit Platform
Ihugure Chatbot Streamlit User Interface
Python program that uses open ai apis to parse user specified content from text files
The City of Portland distributes voter participation info in PDF format. This makes it a CSV.
🎓 Set of powerful tools designed to streamline the extraction, parsing, and clean-up of data from docx and pdf forms. Saves time and eliminate manual data entry by automating the processing of structured data.
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