Question Answering
SciPhi-AI/R2R
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
🤖 Language Models
PythonMITupdated Nov 7, 2025
[Preprint] Learning to Filter Context for Retrieval-Augmented Generaton
$ git clone https://github.com/zorazrw/filco.gitSoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
An LLM-powered advanced RAG pipeline built from scratch
[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
[ICLR 2023] Code for the paper "Binding Language Models in Symbolic Languages"
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。
A custom RAG pipeline for multi-document QA from PDF/DOCX documents, in Android
Data from GitHub · snapshot Sep 24, 2026