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- ✉️ What is RAG? And Why AI is Smarter With It
✉️ What is RAG? And Why AI is Smarter With It
— Issue #9 of The Artificial Newsletter
🤔 Problem with Most AI Today
ChatGPT is smart…
…but often gives you:
outdated answers
hallucinations
or just generic fluff
Why? Because it's working with whatever it remembers from training — not what you know or need.
⚙️ Enter: RAG (Retrieval-Augmented Generation)
RAG = LLM + Search Engine + Brain
Think of it as giving your AI:
A memory (your files, notes, data)
A search engine (to find context)
Then asking it to respond — using that context
🧠 How RAG Works (Simple Chart)
+-------------+
| Your Query |
+------+------+
|
+--------v--------+
| Vector Search | <– Finds relevant files/snippets
+--------+--------+
|
+------v------+
| Retrieved |
| Context |
+------v------+
|
+----------v----------+
| LLM (ChatGPT, etc) | <– answers using your actual data
+---------------------+
🧪 Real Use Case
"Summarize our sales playbook, and tell me what to say to a hesitant CFO."
✅ With RAG → AI pulls exact sections from the latest PDF
❌ Without RAG → AI makes stuff up based on public sales templates
🧰 Tools You Can Try (No Code or Low Code)
Tool | What It Does |
---|---|
ChatGPT + File Uploads | Light RAG behavior, temporary context |
ChatGPT Custom GPT | Semi-persistent context with file memory |
ChatPDF / Claude.ai | Upload + chat with docs, simple UX |
Flowise + LangChain | Build your own RAG system (low-code) |
Notion AI with databases | Promptable private content (semi-RAG) |
🔍 Prompt Example:
You are a customer success manager. Based on the uploaded doc, generate 3 talking points for a hesitant enterprise CTO considering renewal.
👉 With RAG: GPT uses your data
👉 Without RAG: GPT guesses
💬 Closing Thought
Think of RAG as giving ChatGPT:
A brain for your stuff
A search button for your folders
And the ability to stop guessing and start helping
This isn’t the future.
This is now.
👋 Next up in The Artificial Newsletter:
“How I Built a Personal RAG Bot for My Notes — No Coding, No Server”