Document Q&A leveraging LLMs and Clarifai
Notes
Module Document Q&A
This is a demo app showcasing the usefullness of Retrieval Augmented Text Generation. This module includes 4 main pages:
- 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.
- 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.
- 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.
- 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
- Module IDdocQA
- Latest Version ID0_0_10
- DescriptionDocument Q&A leveraging LLMs and Clarifai
- Last UpdatedAug 31, 2023
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