A simple Python program to implement the search-extract-summarize flow.
$ git clone https://github.com/pengfeng/ask.py.gitThis repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
Anywhere, anything to memory, memory to anything.
Repository for the "Building LLMs for Production" book by Towards AI.
WenShape文枢(原NOVIX写作):深度上下文感知的智能体小说创作系统/A Deep Context-Aware Agent-Based Novel Creation System
:memo: 记录个人博客，见证成长之路 https://wangtunan.github.io/blog/
RAG ReAct Agent - A Retrieval-Augmented Generation system with ReAct (Reasoning+Acting) agent loop for intelligent question answering with multi-hop reasoning
Data from GitHub · snapshot Nov 13, 2026