Mani0606/Document-QA
A Document Question-Answering System built with Spring Boot, designed to allow users to upload documents (PDFs, text files, etc.) and ask natural language questions to extract precise answers. The system leverages Retrieval-Augmented Generation (RAG) techniques to combine information retrieval and language models for accurate context-based response
Stars
1
Forks
—
Language
Java
License
—
Category
Last pushed
Nov 06, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/Mani0606/Document-QA"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
AmadeusITGroup/docs2vecs
CLI that helps with docs splitting, embedding and exposing them in a seamless manner
in-c0/updAPI
Free, open-source collection of latest public API documentations - Update LLM's knowledge base...
AlexisBalayre/RagDocs
An AI-powered search engine to interact with documentation using RAG and local LLMs. Privately...
LikithMeruvu/Framework-Docs-AI
Framework Docs AI is a powerful SaaS solution for managing framework documentation. It...
lh0x00/docsifer
Docsifer is a powerful tool for converting various data formats into Markdown for applications...