Anomaly detection in metadata of documents

Created by team Anomaly detectors by RAG on April 12, 2024

Using AI to find mistakes in the metadata of PDF documents. The user can upload a document without metadata, the upload is ingested using unstructured.io. Then AI(Mistral) adds metadata, which is displayed in the UI. The user could now copy that out and use to assign metadata to his documents. The user can then upload another document with the human given metadata, or load a lot of documents with correct metadata from a vectorstore (vectara). The user can also provide his own metadata for the document as a textstring. Mistral then compares the two versions of the metadata and tells the user the differences and similarites between both sets of metadata.

Category tags:

Data Mastery, Productivity, Utility and Tools

Github Presentation Demo

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Abdul Qadeer
Data Scientist
Elia Wäfler
Data manager
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Carlos Salgado
Software Developer
Sandra Ashipala
Software Engineer DevOps

"great work"

Walaa Nasr Elghitany

Lablab Head Judge

"This is a great little application of RAG, I like the idea. But it would be better if it was a broader idea"

Shebagi Mitra

Technical Mentor

"Impressive work!"

Jay Rodge

LLM Developer Advocate

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