🧪 rags-lab

A centralized repo for everything related to RAGs. Resources, Research, Notes, The Future, & more.

🧠 What is rags-lab?

rags-lab is a structured repository where researchers, developers, and builders can,

• 📚 Collect and share RAG-related resources (papers, frameworks, tools)
• 💡 Propose and discuss new RAG ideas or architectures
• 🧩 Document: Experiment, iterate, and refine concepts through open collaboration
• 🚀 Commit to building implementations once an idea matures

The goal is simple... create a living workspace that bridges research discussions & real implementations.

🧩 Repository Structure

rags-lab/
├── 📄 papers/ # Research papers, surveys, and academic references
├── 🧰 frameworks/ # Open-source libraries, APIs, and base architectures
├── 🧠 tutorials/ # Hands-on guides and experiment notebooks
├── 🧩 discussions/ # PR-based brainstorming threads & proposals
├── 💡 ideas/ # Accepted concepts and design summaries
├── 📊 benchmarks/ # Evaluation datasets, metrics, and test results
└── 🧪 implementations/ # Finalized and in-progress project builds
└── resources.md
└── ...

⚙️ How It Works

The collaboration model for rags-lab is intentionally simple and discussion-driven:

1. Propose an Idea

   • Create a new branch or open a Pull Request
   • Add your proposal under /discussions or /ideas
   • Describe the idea clearly: What problem it solves, Why it matters, & How it might work

2. Discuss

   • Community members join the PR thread
   • Exchange feedback, iterate, and refine the approach

3. Decide

   • Once there’s consensus, the PR can be merged (accepted) or closed (archived)
   • Accepted ideas move to /ideas or /implementations depending on maturity

4. Build

   • Contributors can volunteer to prototype or implement the accepted idea
   • Implementations live under /implementations with proper documentation

🔍 Ideal Contributions

• 📖 Interesting RAG papers, survey summaries, or key insights
• 🧩 New framework architectures or evaluation methods
• 💡 Novel RAG mechanisms (graph retrieval, memory loops, multi-agent RAGs, etc.)
• 🧠 Experimental concepts or design proposals
• 🧰 Benchmarks, tools, and reproducibility efforts

💬 Discussions via Pull Requests

All discussions in rags-lab happen through Pull Requests, not issues. Think of each PR as a focused conversation... a space to brainstorm and debate ideas before committing anything to main.

Example workflow

# Fork the repo
git clone https://github.com/<your-username>/rags-lab.git
cd rags-lab

# Create a branch for your idea
git checkout -b feature/graph-rag

# Add your idea under /discussions/
git add discussions/graph-rag.md
git commit -m "Proposal: Graph-based RAG architecture"
git push origin feature/graph-rag

# Open a Pull Request and start the discussion

👥 Contribution Guidelines

• Use clear proposal titles for PRs (e.g., Proposal: Context-Optimized RAG)
• Keep discussions focused on technical exploration and feasibility
• Once an idea is accepted, link related papers, frameworks, and code snippets
• Be respectful, concise, and data-driven in feedback

See CONTRIBUTING.md for the full process.