OmJavia/Doc_Query_Genie

Rag (Retreival Augmented Generation) Python solution with LLama3, LangChain, Ollama and ChromaDB in a Flask API based solution

14
/ 100
Experimental

This tool helps researchers, students, and professionals quickly get answers and specific details from their documents. You can upload a PDF and ask questions about its content, receiving precise answers with citations indicating exactly where the information came from. It also functions as a general knowledge chatbot, similar to ChatGPT.

No commits in the last 6 months.

Use this if you frequently need to extract specific information from long PDF documents and want to verify answers with source references.

Not ideal if you need to analyze or transform structured data like spreadsheets or databases, as it's designed for querying unstructured text in PDFs.

document-search research-assistance information-retrieval academic-study knowledge-management
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 0 / 25

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Language

Python

License

Last pushed

Feb 10, 2025

Commits (30d)

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Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/rag/OmJavia/Doc_Query_Genie"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.