#Question-answering
Showing 60 of 106 repositories tagged #question-answering, ranked by stars
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
An open source library for deep learning end-to-end dialog systems and chatbots.
AdalFlow: The library to build & auto-optimize LLM applications.
State of the Art Natural Language Processing
OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, epub, etc) using a simple React frontend.
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
The Self-Coding System for Your App — Alan AI SDK for Web
Self-contained Machine Learning and Natural Language Processing library in Go
Efficient Retrieval Augmentation and Generation Framework
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego
List of software that allows searching the web with the assistance of AI: https://hf.co/spaces/felladrin/awesome-ai-web-search
GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
Question generation using state-of-the-art Natural Language Processing algorithms
Learn about Machine Learning and Artificial Intelligence
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
An LLM-powered advanced RAG pipeline built from scratch
A curated list of papers dedicated to neural text (semantic) matching.
Framework for enhancing LLMs for RAG tasks using fine-tuning.
The prime repository for state-of-the-art Multilingual Question Answering research and development.
LLMFlows - Simple, Explicit and Transparent LLM Apps
基于自然语言理解与机器学习的聊天机器人，支持多用户并发及自定义多轮对话
Resources, datasets, papers on Question Answering
🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and multiple RAG methods.
Chat with multiple PDFs locally
⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.
An implementation of the BERT model and its related downstream tasks based on the PyTorch framework. @月来客栈
⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"
tensorflow를 사용하여 텍스트 전처리부터, Topic Models, BERT, GPT, LLM과 같은 최신 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.
Minimalist web-searching platform with an AI assistant that runs directly from your browser. Demo: https://felladrin-minisearch.hf.space
End-To-End Memory Networks for bAbI question-answering tasks
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.
🔎 SimilaritySearchKit is a Swift package providing on-device text embeddings and semantic search functionality for iOS and macOS applications.
Ответы на вопросы на должность Frontend разработчика.
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.
Stream-Omni is a GPT-4o-like language-vision-speech chatbot that simultaneously supports interaction across various modality combinations.
WIP - Automated Question Answering for ArXiv Papers with Large Language Models (https://arxiv.taesiri.xyz/)
ADAM - A Question Answering System. Inspired from IBM Watson
🤖 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 🫵
Multimodal Question Answering in the Medical Domain: A summary of Existing Datasets and Systems
An AI-powered arXiv paper summarization website with a virtual assistant for answering questions.
Code and Checkpoints for "Generate rather than Retrieve: Large Language Models are Strong Context Generators" in ICLR 2023.
AIxplora is a open-source tool which let's you query all kind of files not limited to any length or format.
A quiz website for organizing online quizzes and tests. It's build using Python/Django and Bootstrap4 frameworks. 🤖
A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.
Query language for blending SQL and local language models across structured + unstructured data, with type constraints.
Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)
A book 📖 of questions for practise in Rust, learn Rust the hard way
LLM-KG4QA: Large Language Models and Knowledge Graphs for Question Answering
[EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
Code for the paper: GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities