You can use these open-source repos/tools for:

- building an enterprise-grade RAG solution - build and deploy multi-agent workflows - finetune 100+ LLMs - and more...

Let's learn more about them one by one:

1️⃣ Sim AI

A drag-and-drop UI to build AI agent workflows!

Sim AI is a lightweight, user-friendly platform that makes creating AI agent workflows accessible to everyone.

Supports all major LLMs, MCP servers, vectorDBs, etc.

100% open-source.

🔗 github.com/simstudioai/sim

2️⃣ Transformer Lab

Transformer Lab is an app to experiment with LLMs:

- Train, fine-tune, or chat. - One-click LLM download - Drag-n-drop UI for RAG. - Built-in logging, and more.

A 100% open-source and local!

🔗 https://lnkd.in/gJUddBmn

3️⃣ RAGFlow

RAGFlow is a RAG engine for deep document understanding!

It lets you build enterprise-grade RAG workflows on complex docs with well-founded citations.

Supports multimodal data, deep research, etc.

100% open-source with 63k+ stars!

🔗 https://lnkd.in/gbwJ8KBg

4️⃣ AutoAgent

AutoAgent is a zero-code framework that lets you build and deploy Agents using natural language.

- Universal LLM support - Native self-managing Vector DB - Function-calling and ReAct interaction modes.

100% open-source with 5k stars!

🔗 github.com/HKUDS/AutoAgent

5️⃣ Llama Factory

LLaMA-Factory lets you train and fine-tune open-source LLMs and VLMs without writing any code.

Supports 100+ models, multimodal fine-tuning, PPO, DPO, experiment tracking, and much more!

100% open-source with 57k+ stars!

🔗 https://lnkd.in/gwhTYaK8

6️⃣ Anything LLM

The all-in-one AI app you were looking for.

Chat with your docs, use AI Agents, hyper-configurable, multi-user, & no frustrating setup required.

Can run locally on your computer!

100% open-source with 48k+ stars!

🔗 https://lnkd.in/g_xGKR_U

These 6 open-source tools handle it all: RAG pipelines, agentic workflows, even fine-tuning LLMs without a single line of code.

Below is a graphic summing them up! ____ Share this with your network if you found this insightful ♻️ Follow me for more insights and tutorials on AI and Machine Learning!