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Akshay/rag eval #156
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WalkthroughA new README.md file was added to the rag-evaluation repository. The README introduces the toolkit, outlines its purpose, provides information on newsletter subscription, contribution guidelines, licensing, and contact details. No code or exported entities were modified as this is a documentation addition. Changes
Estimated code review effort1 (~2 minutes) Poem
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Actionable comments posted: 2
🧹 Nitpick comments (2)
rag-evaluation/README.md (2)
7-11
: Newsletter promo feels out-of-scope for project documentationThe call-to-action and large banner dominate the README and can be perceived as marketing material unrelated to the repo. Consider:
-## 📬 Stay Updated with Our Newsletter! -... (section removed or moved)or move it to a separate
COMMUNITY.md
.
14-19
: Section title mismatched with repo name“Contribute to the AI Engineering Hub!” implies a different repository. Rename to avoid confusion:
-## 📢 Contribute to the AI Engineering Hub! +## 📢 Contributing
📜 Review details
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📒 Files selected for processing (1)
rag-evaluation/README.md
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🔇 Additional comments (1)
rag-evaluation/README.md (1)
22-24
: Verify LICENSE presenceREADME references
LICENSE
, but the file isn’t part of this PR. Ensure it exists at repo root; otherwise update the link or add the license file.
# Evaluating RAGs! | ||
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In this repo we provide a streamlined approach to evaluating Retrieval-Augmented Generation (RAG) systems. It includes tools for assessing response accuracy, relevance, and overall performance, helping you optimize and refine RAG models with ease. | ||
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🛠️ Refactor suggestion
Clarify project scope & add usage/installation details
Great high-level pitch, but the README stops short of telling users how to run or integrate the toolkit. Add at minimum:
- “Quick Start” (pip install / Docker / local setup)
- “Basic Example” (1-2 commands or code snippet that calls the evaluator)
- “Requirements” (Python version, GPU/CPU expectations, etc.)
Without these, new users will bounce.
🤖 Prompt for AI Agents
In rag-evaluation/README.md lines 1 to 4, the README introduces the project but
lacks essential usage and setup information. Add sections for "Quick Start" with
installation instructions (e.g., pip install, Docker, or local setup), "Basic
Example" showing 1-2 commands or a code snippet to run the evaluator, and
"Requirements" specifying Python version and hardware expectations. This will
help new users understand how to install, run, and integrate the toolkit
effectively.
## 💬 Connect | ||
For discussions, suggestions, and more, feel free to [create an issue](https://github.com/patchy631/ai-engineering/issues) or reach out directly! | ||
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Issue link points to another repo
https://github.com/patchy631/ai-engineering/issues
redirects users away from this project. Replace with the current repo’s issues URL.
-[create an issue](https://github.com/patchy631/ai-engineering/issues)
+[create an issue](https://github.com/<org-or-user>/rag-evaluation/issues)
Committable suggestion skipped: line range outside the PR's diff.
🤖 Prompt for AI Agents
In rag-evaluation/README.md around lines 25 to 27, the issue link points to a
different repository which redirects users away from the current project. Update
the URL in the "create an issue" link to point to the issues page of the current
repository to keep users within the correct project context.
Summary by CodeRabbit