Trending repositories for topic question-answering
AdalFlow: The library to build & auto-optimize LLM applications.
:mag: AI 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 d...
The all-in-one solution for RAG. Build, scale, and deploy state of the art Retrieval-Augmented Generation applications
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, scalable, under developpement
Minimalist web-searching platform with an AI assistant that runs directly from your browser. Uses Web-LLM, Wllama and SearXNG. Demo: https://felladrin-minisearch.hf.space
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
👑 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 Sear...
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。
(Let's start with a) Scalable question-answering system utilizing FastAPI, LangChain (LCEL), and PGVector, featuring an ingestion pipeline. Deployed on GCP Cloud Run via Terraform.
Ứng dụng hỗ trợ tra cứu, hỏi đáp tri thức pháp luật dựa trên Bộ pháp điển và CSDL văn bản QPPL Việt Nam.
Powerful web application that combines Streamlit, LangChain, and Pinecone to simplify document analysis. Powered by OpenAI's GPT-3, RAG enables dynamic, interactive document conversations, making it i...
Repository for Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions, ACL23
Multilingual/multidomain question generation datasets, models, and python library for question generation.
Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites
Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, scalable, under developpement
(Let's start with a) Scalable question-answering system utilizing FastAPI, LangChain (LCEL), and PGVector, featuring an ingestion pipeline. Deployed on GCP Cloud Run via Terraform.
AdalFlow: The library to build & auto-optimize LLM applications.
Ứng dụng hỗ trợ tra cứu, hỏi đáp tri thức pháp luật dựa trên Bộ pháp điển và CSDL văn bản QPPL Việt Nam.
Minimalist web-searching platform with an AI assistant that runs directly from your browser. Uses Web-LLM, Wllama and SearXNG. Demo: https://felladrin-minisearch.hf.space
Powerful web application that combines Streamlit, LangChain, and Pinecone to simplify document analysis. Powered by OpenAI's GPT-3, RAG enables dynamic, interactive document conversations, making it i...
Repository for Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions, ACL23
The all-in-one solution for RAG. Build, scale, and deploy state of the art Retrieval-Augmented Generation applications
An implementation of the BERT model and its related downstream tasks based on the PyTorch framework
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
Multilingual/multidomain question generation datasets, models, and python library for question generation.
Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites
A collection of some materials of knowledge graph question answering
:mag: AI 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 d...
Efficient Retrieval Augmentation and Generation Framework
Framework for enhancing LLMs for RAG tasks using fine-tuning.
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。
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
AdalFlow: The library to build & auto-optimize LLM applications.
:mag: AI 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 d...
The all-in-one solution for RAG. Build, scale, and deploy state of the art Retrieval-Augmented Generation applications
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, scalable, under developpement
Minimalist web-searching platform with an AI assistant that runs directly from your browser. Uses Web-LLM, Wllama and SearXNG. Demo: https://felladrin-minisearch.hf.space
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
👑 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 Sear...
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。
(Let's start with a) Scalable question-answering system utilizing FastAPI, LangChain (LCEL), and PGVector, featuring an ingestion pipeline. Deployed on GCP Cloud Run via Terraform.
Ứng dụng hỗ trợ tra cứu, hỏi đáp tri thức pháp luật dựa trên Bộ pháp điển và CSDL văn bản QPPL Việt Nam.
Powerful web application that combines Streamlit, LangChain, and Pinecone to simplify document analysis. Powered by OpenAI's GPT-3, RAG enables dynamic, interactive document conversations, making it i...
Repository for Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions, ACL23
Multilingual/multidomain question generation datasets, models, and python library for question generation.
Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites
Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, scalable, under developpement
(Let's start with a) Scalable question-answering system utilizing FastAPI, LangChain (LCEL), and PGVector, featuring an ingestion pipeline. Deployed on GCP Cloud Run via Terraform.
AdalFlow: The library to build & auto-optimize LLM applications.
Ứng dụng hỗ trợ tra cứu, hỏi đáp tri thức pháp luật dựa trên Bộ pháp điển và CSDL văn bản QPPL Việt Nam.
Minimalist web-searching platform with an AI assistant that runs directly from your browser. Uses Web-LLM, Wllama and SearXNG. Demo: https://felladrin-minisearch.hf.space
Powerful web application that combines Streamlit, LangChain, and Pinecone to simplify document analysis. Powered by OpenAI's GPT-3, RAG enables dynamic, interactive document conversations, making it i...
Repository for Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions, ACL23
The all-in-one solution for RAG. Build, scale, and deploy state of the art Retrieval-Augmented Generation applications
An implementation of the BERT model and its related downstream tasks based on the PyTorch framework
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
Multilingual/multidomain question generation datasets, models, and python library for question generation.
Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites
A collection of some materials of knowledge graph question answering
:mag: AI 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 d...
Efficient Retrieval Augmentation and Generation Framework
Framework for enhancing LLMs for RAG tasks using fine-tuning.
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。
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
:mag: AI 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 d...
AdalFlow: The library to build & auto-optimize LLM applications.
The all-in-one solution for RAG. Build, scale, and deploy state of the art Retrieval-Augmented Generation applications
Minimalist web-searching platform with an AI assistant that runs directly from your browser. Uses Web-LLM, Wllama and SearXNG. Demo: https://felladrin-minisearch.hf.space
👑 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 Sear...
Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, scalable, under developpement
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
An open source library for deep learning end-to-end dialog systems and chatbots.
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Models
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
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 financia...
Tevatron - A flexible toolkit for neural retrieval research and development.
Query language for blending SQL logic and LLM reasoning across structured + unstructured data. [Findings of ACL 2024]
WIP - Automated Question Answering for ArXiv Papers with Large Language Models (https://arxiv.taesiri.xyz/)
Minimalist web-searching platform with an AI assistant that runs directly from your browser. Uses Web-LLM, Wllama and SearXNG. Demo: https://felladrin-minisearch.hf.space
Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, scalable, under developpement
DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Models
AdalFlow: The library to build & auto-optimize LLM applications.
Query language for blending SQL logic and LLM reasoning across structured + unstructured data. [Findings of ACL 2024]
RAG-QA-Generator 是一个用于检索增强生成（RAG）系统的自动化知识库构建与管理工具。该工具通过读取文档数据，利用大规模语言模型生成高质量的问答对（QA对），并将这些数据插入数据库中，实现RAG系统知识库的自动化构建和管理。
Labs for the "Build an agentic LLM assistant on AWS" workshop. A step by step agentic llm assistant development workshop using serverless three-tier architecture.
A custom RAG pipeline for multi-document QA from PDF/DOCX documents, in Android
Retrieval augmented generation for middle-school math question answering and hint generation.
Code for the paper: GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities
Code, datasets, and checkpoints for the paper "CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation"
Evaluation framework for paper "VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?"
Ứng dụng hỗ trợ tra cứu, hỏi đáp tri thức pháp luật dựa trên Bộ pháp điển và CSDL văn bản QPPL Việt Nam.
This repository is an AI Bootcamp material that consist of a workflow for LLM
Leverages extensive power of multiple Machine Learning algorithms & LLM to provide in-depth answers to medical queries and predicts condition/diseases based on patient symptoms
The codebase for the book "AI-Powered Search" (Manning Publications, 2024)
WIP - Automated Question Answering for ArXiv Papers with Large Language Models (https://arxiv.taesiri.xyz/)
This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"
The all-in-one solution for RAG. Build, scale, and deploy state of the art Retrieval-Augmented Generation applications
This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"
[Paper][ACL 2024 Findings] Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering
[Preprint] Learning to Filter Context for Retrieval-Augmented Generaton
DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Models
Code for the paper: GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities
Query language for blending SQL logic and LLM reasoning across structured + unstructured data. [Findings of ACL 2024]
A custom RAG pipeline for multi-document QA from PDF/DOCX documents, in Android
A Web app stack written in FastAPI, Qdrant, and React for creating AI projects
Evaluation framework for paper "VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?"
Ứng dụng hỗ trợ tra cứu, hỏi đáp tri thức pháp luật dựa trên Bộ pháp điển và CSDL văn bản QPPL Việt Nam.
Labs for the "Build an agentic LLM assistant on AWS" workshop. A step by step agentic llm assistant development workshop using serverless three-tier architecture.
(Let's start with a) Scalable question-answering system utilizing FastAPI, LangChain (LCEL), and PGVector, featuring an ingestion pipeline. Deployed on GCP Cloud Run via Terraform.
RAG-QA-Generator 是一个用于检索增强生成（RAG）系统的自动化知识库构建与管理工具。该工具通过读取文档数据，利用大规模语言模型生成高质量的问答对（QA对），并将这些数据插入数据库中，实现RAG系统知识库的自动化构建和管理。
:mag: AI 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 d...
The all-in-one solution for RAG. Build, scale, and deploy state of the art Retrieval-Augmented Generation applications
AdalFlow: The library to build & auto-optimize LLM applications.
👑 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 Sear...
Framework for enhancing LLMs for RAG tasks using fine-tuning.
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
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
This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"
An open source library for deep learning end-to-end dialog systems and chatbots.
An LLM-powered advanced RAG pipeline built from scratch
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 financia...
This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"
Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"
Minimalist web-searching platform with an AI assistant that runs directly from your browser. Uses Web-LLM, Wllama and SearXNG. Demo: https://felladrin-minisearch.hf.space
Official Code for "Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction (CVPR 2024)"
This repository is an AI Bootcamp material that consist of a workflow for LLM
[Preprint] Learning to Filter Context for Retrieval-Augmented Generaton
Powerful web application that combines Streamlit, LangChain, and Pinecone to simplify document analysis. Powered by OpenAI's GPT-3, RAG enables dynamic, interactive document conversations, making it i...
Code, datasets, and checkpoints for the paper "CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation"
[NeurIPS 2022] Official Code for REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering
Train Llama 2 & 3 on the SQuAD v2 task as an example of how to specialize a generalized (foundation) model.
Repository for Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions, ACL23
Efficient Retrieval Augmentation and Generation Framework
WIP - Automated Question Answering for ArXiv Papers with Large Language Models (https://arxiv.taesiri.xyz/)
🤖 Long-form question answering in the legal domain. (AAAI 2024)
Explore LangChain and build powerful chatbots that interact with your own data. Gain insights into document loading, splitting, retrieval, question answering, and more.
🦙 Free and Open Source Large Language Model (LLM) chatbot web UI and API. Self-hosted, offline capable and easy to setup. Powered by LangChain.
Repository for MuSiQue: Multi-hop Questions via Single-hop Question Composition, TACL 2022
A Chinese National Medical Licensing Examination dataset and large languge model benchmarks