adityasharmadotai-hash

adityasharmadotai-hash / docs-reader-rag-agent

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This agent answers questions by reading multiple docs provided by the user

19
5
69% credibility
Found May 18, 2026 at 23 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This project is a document-reading assistant that helps you get quick answers from job description files. You simply drop your Word documents into a folder, and the tool reads through all of them. Then you can ask questions in plain English—like 'What are the requirements?' or 'Does it include remote work?'—and the assistant searches through your documents to find and explain the relevant information. It's especially useful when comparing multiple job postings, as it can clarify which role you're asking about and pull details from different sections like qualifications, responsibilities, and benefits.

How It Works

1
📁 You gather your job documents

You collect all the job description files you want to learn about and place them in a folder.

2
🚀 You launch the application

With one click, your document assistant opens up and automatically reads through all your files.

3
💬 You ask anything about the jobs

You type natural questions like 'What qualifications do I need?' or 'What's the salary range?' and get instant answers.

4
The AI understands your question
📋
Single job question

If you asked about one specific role, it gives you a clear answer from that document.

🔍
Multiple jobs mentioned

If your question could apply to several jobs, it asks you to clarify which one you mean.

🔎
Skills or qualifications asked

It searches both the qualifications and job description sections to give you a complete answer.

5
💡 You get a clear, helpful answer

The assistant pulls information from your documents and explains it in plain language, always mentioning which job it relates to.

6
🔄 You keep the conversation going

You can ask follow-up questions and the assistant remembers what you discussed, just like chatting with a helpful colleague.

✅ You find exactly what you need

In minutes, you've extracted all the important details from your job documents without having to read through each one manually.

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AI-Generated Review

What is docs-reader-rag-agent?

This is a Python tool that lets you upload job description documents and then chat with an AI that answers questions strictly from those files. Drop .docx files into a folder, fire up the Streamlit interface, and ask things like "What degree is required?" or "Is remote work offered?" The agent pulls your documents, feeds them to GPT-3.5-turbo with a prompt that forces grounded answers, and returns responses tied to specific roles and companies. It's a basic RAG setup -- no vector databases or embeddings, just clever prompting.

Why is it gaining traction?

The hook is simplicity. You get a working document Q&A system in minutes without spinning up a vector store or writing retrieval logic. The agent has explicit rules to ask for clarification when job titles are ambiguous and to search both Qualifications and Job Description sections. For small document sets, this beats overengineered pipelines. It's the "good enough for now" approach that actually ships.

Who should use this?

HR teams buried in .docx job descriptions who need quick answers. Recruiters comparing requirements across dozens of postings. Developers evaluating this as a starter template before building something production-grade. If you have more than 20 documents or need semantic search beyond "which section contains X," look elsewhere.

Verdict

It's a proof-of-concept with 19 stars and a credibility score of 0.7% -- early, unproven, and light on tests or documentation. The implementation is functional but naive (pure prompt concatenation, no chunking strategy, hardcoded GPT-3.5). Worth experimenting with for personal use, but don't bet production work on it without significant hardening.

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