Skip to content

AAArpan/DocAI

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

20 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

DocAI

Document QnA with AI

The Project Overview:

Document AI is a powerful tool developed, offering state-of-the-art techniques for document processing, including entity extraction, sentiment analysis, and natural language understanding. Mistral-7B LLM, specializes in understanding and generating text, making it ideal for tasks requiring nuanced language comprehension.

How It Works:

  1. Document Upload: Users can drag and drop their PDF documents through the application interface.

  2. Query Processing: Upon receiving a query from the user, the application utilizes the Mistral-7B LLM model to understand the intent and extract relevant information from the uploaded documents.

  3. Response Generation: Based on the query and the content of the documents, the system generates a concise and informative response, addressing the user's query.

SampleTest.mp4

Framework Independent:

Unlike traditional approaches that may rely on specific frameworks like LangChain, this implementation demonstrates flexibility and independence in choosing the tools best suited for the task.

About

Document QnA with AI

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages