ai-agent

RAG_Techniques: Boost AI Generation

Get advanced Retrieval-Augmented Generation techniques with detailed tutorials, for founders using AI and NLP, with 28k+ GitHub stars
advanced⏱ 1-2 hours💵 Free
29,820 stars+213★ this week3,648 forksJupyter NotebookGuide quality 8/10 · reviewed Jun 5Updated 10/11/2026100% free · open source
What it is

Explore and apply advanced Retrieval-Augmented Generation techniques to improve your AI models

Real use case example

"A founder of a startup building a conversational AI platform can use this skill to create more engaging and accurate chatbot responses by following these steps: first, they clone the repository and explore the tutorials in the Jupyter Notebook, then they apply the techniques to their own language model, and finally they test and refine the output to achieve the desired level of quality"

When to use it
  • •When building AI applications that need more contextually accurate responses
  • •For startup AI products requiring nuanced, knowledge-specific language generation
  • •When standard chatbot/LLM outputs are too generic or imprecise
Ready-to-paste prompt
git clone https://github.com/NirDiamant/RAG_Techniques && cd RAG_Techniques && pip install -r requirements.txt
Saves to your device
Use with Claude
New

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

⚡ Runs out of the box

A prompt/skill package — nothing to install beyond adding it to your AI tool.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/rag-techniques && curl -fsSL https://workflowstacks.com/api/skills/rag-techniques/claude-skill -o ~/.claude/skills/rag-techniques/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 RAG_Techniques: Boost AI Generation works
Codeflow
Free to inspect

RAG_Techniques: Boost AI Generation is mostly documents (4 doc files, 21 small scripts) — something you read, not something you run. There is nothing to install. Last commit this month, Other license.

Size
Mostly documents
4 documents · 21 small scripts · ~2 h to skim
Setup
Nothing to install
A course / notebook collection. Read it; run cells if you like.
Runs on
Nowhere — you read it
A reading resource, not a program.
Jupyter Notebook 95%Python 5%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
What's in each folder
all_rag_techniques/Folder40 files
data/Data files7 files
evaluation/Folder6 files
images/Images & static assets45 files
.github/CI / automation (GitHub Actions)3 files
tests/Tests — proof it works2 files
READMEHas testsDocumentedCI checksOther licenseUpdated this month
Quick Actions
Details
Creator
NirDiamant
Language
Jupyter Notebook
Category
ai-agent
Published
7/13/2024

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