qa-system

FAQ-based Question Answering System

基于知识图谱的电影知识问答系统。

Dataset Resplitting for Generalization in KGQA. See also https://github.com/semantic-systems/KGQA-datasets

Q&A System using BERT and Faiss Vector Database

#自然语言处理#RagE (RAG Engine) - A tool supporting the construction and training of components of the Retrieval-Augmented-Generation (RAG) model. It also facilitates the rapid development of Q&A systems and chatbo...

#自然语言处理#A modern and lightweight NLP interface for Question-Answering systems and more. Fork this project to showcase your Python models with elegant web applications in no time!

Knowledge-Based Question Answering --TF2 Version

复旦大学NLP课程期末PJ；疫情信息问答系统

#自然语言处理#

Military-oriented knowledge question-answer system, it supports different way to ask.

In this academic project, I have compared the performance of different NLP approaches for Question-Answering system using varied levels (easy, medium, hard) of FAQs.

#自然语言处理#We built a Question Answer System using BERT. Based on our benchmark dataset that we designed for a specific task, we evaluated it at 40% accuracy over a particular dataset.

#向量搜索引擎#QueryVault is a robust RAG system for structured Q&A data. It ingests JSON files, embeds content via ChromaDB, and serves context-aware answers using FastAPI and Google Gemini. With a modular design a...

#自然语言处理#This project implements a Retrieval Augmented Generation (RAG) Pipeline for PDF documents. It extracts information, generates embeddings, and uses LLMs to provide intelligent responses via an interact...

Full-stack referral and Q&A system built for events, featuring intelligent agents for automated question-answering and a comprehensive ranking system for referrals

A RAG-based retrieval system for air pollution topics using LangChain and ChromaDB.

#自然语言处理#Project repository for the development of a Question-Answering (QA) information retrieval system fine-tuned on customer queries.

#自然语言处理#🤖 A toy Transformer Q&A model simulator demonstrating core concepts of large language models through memorized Q&A pairs. Educational demo with interactive web interface.

Question Answering System via Semantic Role Labeling Using Token Classification and Parsing Techniques

#自然语言处理#A collection of 1,397 Wikipedia articles related to environmental issues, for QA systems.