Handy Ollama
datawhalechina
动手学Ollama,CPU玩转大模型部署,在线阅读地址:https://datawhalechina.github.io/handy-ollama/
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datawhalechina
动手学Ollama,CPU玩转大模型部署,在线阅读地址:https://datawhalechina.github.io/handy-ollama/
qhjqhj00
Empowering RAG with a memory-based data interface for all-purpose applications!
HKUDS
[ACL2026] "MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"
athina-ai
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
BAI-LAB
[EMNLP 2025 Oral] MemoryOS is designed to provide a memory operating system for personalized AI agents.
rhanka
AI coding assistant skill (Claude Code, Codex, OpenCode, OpenClaw, Factory Droid, Trae). Turn any folder of code, docs, papers, or images into a queryable knowledge graph
asinghcsu
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
shuyu-labs
An AI knowledge base/agent built with .Net 9, AntBlazor, Semantic Kernel, and Kernel Memory, supporting local offline AI large models. It can run offline without an inte…
DataScienceUIBK
🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets a…