question-answering

Chat with multiple PDFs locally

⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.

This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"

Minimalist web-searching platform with an AI assistant that runs directly from your browser. Demo: https://felladrin-minisearch.hf.space

tensorflow를 사용하여 텍스트 전처리부터, Topic Models, BERT, GPT, LLM과 같은 최신 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.

Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.

Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.

KoalaQA 是一款 AI 大模型驱动的开源售后服务社区，提供 AI 回答、AI 搜索、AI 运营等能力，帮助你快速落地售后客服、社区问答、自助服务等场景，帮助团队显著降低人工运营成本、提升客户满意度与响应效率，助力实现 ZCR（Zero Contact Resolution）目标。

Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, advanced RAG, advanced summaries, scriptable, etc

Dataset and benchmark for RAG on company internal documents.

Fast and production-ready question answering in Node.js

A relation-aware semantic parsing model from English to SQL

The codebase for the book "AI-Powered Search" (Manning Publications, 2025) and associated "AI-Powered Search: Modern Retrieval for Humans & Agents" Maven course

SQuAD Question Answering Using BERT, PyTorch

Stream-Omni is a GPT-4o-like language-vision-speech chatbot that simultaneously supports interaction across various modality combinations.

IJCAI 2021 Tutorial & code for Retrospective Reader for Machine Reading Comprehension (AAAI 2021)

🤖 State-of-the-art, production ready LLM apps made mega-easy, so you don't have to build them from scratch 🤯 Create a bot, now 🫵

Cybertron: the home planet of the Transformers in Go

An AI-powered arXiv paper summarization website with a virtual assistant for answering questions.

Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.