ai-agent

Renumics-rag: Visualize AI Assistant Results

Name: Renumics-rag: Visualize AI Assistant Results
Author: Renumics

Founders get retrieval-augmented generation insights with renumics-rag, a tool for startup teams using large-language-models.

From the repo · “Visualization for a Retrieval-Augmented Generation (RAG) Assistant 🤖❤️📚”

211 stars42 forksPythonGuide quality 9/10 · reviewed Jul 13Updated 10/19/2026100% free · open source

What it does

Renumics-rag provides retrieval-augmented generation insights to founders, leveraging large-language-models for informed decision-making

When to use it

•When you need to generate text based on specific, relevant information from a knowledge base
•To augment human decision-making with AI-driven suggestions and data retrieval
•For creating interactive, question-answering systems that provide accurate and up-to-date information

Ready-to-paste prompt

python rag.py -m 'What are the key challenges faced by startup founders in the AI sector?'

Heads up: Ensure you have the necessary Python version and dependencies installed, as specified in the repository's README, to avoid compatibility issues and runtime errors

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/renumics-rag && curl -fsSL https://workflowstacks.com/api/skills/renumics-rag/claude-skill -o ~/.claude/skills/renumics-rag/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Renumics-rag: Visualize AI Assistant Results works

Codeflow

Free to inspect

Renumics-rag: Visualize AI Assistant Results is a small Python project (~1.2k lines across 12 code files). Setup is light: runs with Docker. Last commit this month, MIT license, no tests found.

Size

Small codebase

~1.2k lines · 12 code files · 10 min skim

Setup

Light setup

Runs with Docker.

Runs on

Python · Docker

No API keys detected

Python 54%Jupyter Notebook 41%Makefile 3%Dockerfile 1%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
assistant/app.py
Where the program starts running
3
pyproject.toml
Dependencies and the commands it exposes

What's in each folder

assistant/Folder13 files

notebooks/Research & notebooks4 files

assets/Images & static assets6 files

READMENo tests foundThin docsNo CIDocker readyMIT licenseUpdated this month

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/renumics-rag && curl -fsSL https://workflowstacks.com/api/skills/renumics-rag/claude-skill -o ~/.claude/skills/renumics-rag/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions

Details

Creator

Renumics

Language

Python