Clarifai/module-docQA
Jupyter Notebook
Captured source
source ↗Clarifai/module-docQA
Language: Jupyter Notebook
Stars: 1
Forks: 0
Open issues: 1
Created: 2023-04-29T23:41:09Z
Pushed: 2025-10-22T18:15:23Z
Default branch: main
Fork: no
Archived: no
README:
Module Document Q&A
This is a demo app showcasing the usefullness of Retrieval Augmented Text Generation. This module includes 4 main pages: 1. Upload: This page takes a pdf, parses it into chunks, and uploads it to a Clarifai app with metadata to track the source and page/chunk number. 2. Upload with Geo: This page takes a pdf, parses it into chunks, then extracts relevant locations using a LLM and uploads the text chunks and geo data to a Clarifai app. 3. Investigate: This page showcases different use cases such as semantic search for document retrieval, followed with NER (named-entity recognition), document summarization, and a "chat with the document" experience. 4. Geo Search: This page uses Clarifai semantic search and geo data search to retrieve relevant documents within a designated geo location, which can then used to ground the LLM generation for a summarization task.
Install this module into your app to upload the documents and analyse them!
Here's a blog you can refer to https://www.clarifai.com/blog/doc-qa-revolutionizing-document-analysis
Screenshots
Upload PDF
Upload with Geo
Investigate
Named-Entity Recognition
Document Summarization
Chat with the Document
Geo Search
Notability
notability 1.0/10Routine module repo, minimal traction.