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GitHub / AlinaBaber / Document-Analysis-Identification-with-RAG-Vector-Database-and-Mistral-LLM

This Document Analysis pipeline is a comprehensive document analysis system, designed to automate the processing and analysis of documents from acquisition to consumption. It integrates advanced machine learning & AI models like RAG (Retrieval Augmented Generation) & Mistral LLM to efficiently extract, match, enrich, process document

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlinaBaber%2FDocument-Analysis-Identification-with-RAG-Vector-Database-and-Mistral-LLM
PURL: pkg:github/AlinaBaber/Document-Analysis-Identification-with-RAG-Vector-Database-and-Mistral-LLM

Stars: 2
Forks: 0
Open issues: 0

License: None
Language: Python
Size: 14.8 MB
Dependencies parsed at: Pending

Created at: 12 months ago
Updated at: 6 months ago
Pushed at: 10 months ago
Last synced at: 5 months ago

Topics: document-analysis, document-analysis-recognition, document-pipeline, document-uploader, llm, mistral, paddleocr, python, rag, tesseract

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