Boost AI with RAG
Builds a Retrieval Augmented Generation pipeline using a pre-made blueprint with Python.
"A founder of an e-commerce startup wants to automatically generate sales summaries from customer reviews on Amazon. They create a new instance of the RAG pipeline, connect a dataset of Amazon reviews, and use the model to summarize the reviews. After a day, they have a comprehensive market summary to inform their business decisions."
- •You need to generate user manuals or guides based on existing documentation
- •You want to create chatbots that provide accurate and up-to-date information
- •You're building a content generation tool that requires contextual understanding
python main.py --config config.json --input "What is the capital of France?" --output generated_text.txt
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/rag && curl -fsSL https://workflowstacks.com/api/skills/rag/claude-skill -o ~/.claude/skills/rag/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Boost AI with RAG is a very large Python project (~74k lines across 275 code files, plus 194 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit a month ago, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2AGENTS.mdThe instructions the AI actually follows
- 3package.jsonDependencies and the commands it exposes
- 4src/README.mdInside src/ — the main logic begins here
- 5examples/README.mdA worked example — copy this to get going
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/rag && curl -fsSL https://workflowstacks.com/api/skills/rag/claude-skill -o ~/.claude/skills/rag/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Do this with a working workflow
Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.
Automate your meeting summaries
A private form takes any transcript (from Zoom, Meet, Otter, Fireflies) and emails you back a structured summary: a TL;DR, the decisions made, and action items with owners.
Free n8n templateReview Reply Drafter
Draft personalized, on-brand replies to every customer review — including careful responses to negative ones. You approve before anything is posted.
Outcome guideTurn meeting notes into a summary email automatically
Paste the transcript into a private form and the workflow writes and emails a concise recap — decisions, owners, open questions — that people will actually read.
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