Data Juicer
datajuicer
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
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1–16 / 25
Candidates in this shortlist, not the full registry. GitHub stars belong to repositories, not individual skills.
Results: 25
datajuicer
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
deepset-ai
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit con…
NVIDIA
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
SciPhi-AI
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
volcengine
MineContext is your proactive context-aware AI partner(Context-Engineering+ChatGPT Pulse)
swirlai
AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.
Xnhyacinth
📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥
Andrew-Jang
A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.
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/
HKUDS
[ACL2026] "MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"
BaranziniLab
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
StarRocks
The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provide…
flyteorg
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.