Haystack
deepset-ai
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit con…
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1–16 / 24
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Results: 24
deepset-ai
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit con…
datajuicer
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
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
flyteorg
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.
alvinreal
Curated list of the best truly open-source AI projects, models, tools, and infrastructure.