question-answering

#自然语言处理#Haystack 是一个开源 NLP 框架，利用预训练的 Transformer 模型。 帮组开发者能快速实现一个生产级的语义搜索、问答、摘要和文档排名的NLP应用

#搜索#PaddleNLP 2.0是飞桨生态的文本领域核心库，具备易用的文本领域API，多场景的应用示例、和高性能分布式训练三大特点，旨在提升开发者文本领域的开发效率，并提供基于飞桨2.0核心框架的NLP任务最佳实践。

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

SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

#自然语言处理#An open source library for deep learning end-to-end dialog systems and chatbots.

#大语言模型#LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.

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

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

#自然语言处理#State of the Art Natural Language Processing

#自然语言处理#AdalFlow: The library to build & auto-optimize LLM applications.

#大语言模型#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.

#自然语言处理#Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

FAQ-based Question Answering System

#自然语言处理#The Self-Coding System for Your App — Alan AI SDK for Web

#自然语言处理#Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

#自然语言处理#Self-contained Machine Learning and Natural Language Processing library in Go

#自然语言处理#Datasets, SOTA results of every fields of Chinese NLP

#自然语言处理#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。

#自然语言处理#A collection of research on knowledge graphs

#自然语言处理#🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.