question-answering

There are 1790 repositories under question-answering topic.

  • haystack

    deepset-ai/haystack

    :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

    Language:Python14.3k1303.3k1.7k
  • PaddleNLP

    PaddlePaddle/PaddleNLP

    👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

    Language:Python11.6k1033.5k2.9k
  • brightmart/nlp_chinese_corpus

    大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

  • deeppavlov/DeepPavlov

    An open source library for deep learning end-to-end dialog systems and chatbots.

    Language:Python6.6k2096381.1k
  • simpletransformers

    ThilinaRajapakse/simpletransformers

    Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

    Language:Python4k641.1k723
  • qq547276542/Agriculture_KnowledgeGraph

    农业知识图谱(AgriKG):农业领域的信息检索,命名实体识别,关系抽取,智能问答,辅助决策

    Language:Python3.9k170821.5k
  • spark-nlp

    JohnSnowLabs/spark-nlp

    State of the Art Natural Language Processing

    Language:Scala3.7k100875704
  • whitead/paper-qa

    LLM Chain for answering questions from documents with citations

    Language:Python3.7k41132353
  • vault-ai

    pashpashpash/vault-ai

    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.

    Language:JavaScript3.2k4856304
  • baidu/AnyQ

    FAQ-based Question Answering System

    Language:C++2.6k121239667
  • guillaume-be/rust-bert

    Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

    Language:Rust2.5k39207204
  • alan-sdk-web

    alan-ai/alan-sdk-web

    Generative AI SDK for Web to create AI Agents for apps built with JavaScript, React, Angular, Vue, Ember, Electron

  • langroid

    langroid/langroid

    Harness LLMs with Multi-Agent Programming

    Language:Python1.8k17141172
  • didi/ChineseNLP

    Datasets, SOTA results of every fields of Chinese NLP

    Language:HTML1.8k6111273
  • FARM

    deepset-ai/FARM

    :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

    Language:Python1.7k54406245
  • spago

    nlpodyssey/spago

    Self-contained Machine Learning and Natural Language Processing library in Go

    Language:Go1.7k395686
  • milvus-io/bootcamp

    Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

    Language:HTML1.7k32260540
  • BDBC-KG-NLP/QA-Survey-CN

    北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答(KBQA),基于文本的问答系统(TextQA),基于表格的问答系统(TableQA)、基于视觉的问答系统(VisualQA)和机器阅读理解(MRC)等,每类任务分别对学术界和工业界进行了相关总结。

  • shaoxiongji/knowledge-graphs

    A collection of research on knowledge graphs

    Language:JavaScript1.6k616288
  • allenai/bi-att-flow

    Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

    Language:Python1.5k105103682
  • microsoft/NeuronBlocks

    NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

    Language:Python1.4k6425192
  • sindresorhus/amas

    Awesome & Marvelous Amas

  • SciPhi-AI/R2R

    Build and deploy a fully-featured, observable, user-facing RAG backend in minutes.

    Language:HTML1.3k1036116
  • SimmerChan/KG-demo-for-movie

    从无到有构建一个电影知识图谱,并基于该KG,开发一个简易的KBQA程序。

    Language:Python1.3k4033423
  • atfortes/Awesome-LLM-Reasoning

    Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought, Instruction-Tuning and Multimodality.

  • wudi/PHP-Interview-Best-Practices-in-China

    📙 PHP 面试知识点汇总

  • rongweihe/CPPNotes

    【C++ 面试 + C++ 学习指南】 一份涵盖大部分 C++ 程序员所需要掌握的核心知识。

    Language:C++1.1k134127
  • google-research/tapas

    End-to-end neural table-text understanding models.

    Language:Python1.1k42167216
  • model-zoo/shift-ctrl-f

    🔎 Search the information available on a webpage using natural language instead of an exact string match.

    Language:JavaScript1.1k18946
  • fastRAG

    IntelLabs/fastRAG

    Efficient Retrieval Augmentation and Generation Framework

    Language:Python1k112590
  • chatopera/insuranceqa-corpus-zh

    :helicopter: 保险行业语料库,聊天机器人

    Language:Python1k5625340
  • brightmart/bert_language_understanding

    Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

    Language:Python9594921211
  • myhhub/KnowledgeGraph

    knowledge graph知识图谱,从零开始构建知识图谱

    Language:Python912403120
  • brylevkirill/notes

    Learn about Machine Learning and Artificial Intelligence

  • IndexFziQ/GNN4NLP-Papers

    A list of recent papers about Graph Neural Network methods applied in NLP areas.

  • ramsrigouthamg/Questgen.ai

    Question generation using state-of-the-art Natural Language Processing algorithms

    Language:Python8772748283