RAG FOR ALL — See How RAG Works, Step by Step.

FROM A SMART AGENT TO YOUR AGENT

RAG is how an AI agent becomes yours.

RAG FOR ALL lets you see, change, and compare every RAG step—from document upload to the grounded answer. AI agents can act, but without your knowledge they are still generic. RAG connects an agent to your documents, your plans, and your latest facts, so it can finally work like your assistant.

WHY RAG CHANGES THE CONVERSATIONSame question. Very different assistant.
WITHOUT RAGGeneric information only

Can you check tomorrow’s date—where, when, and what should I bring?

A confused empty-handed AI agent scratching its head

Sorry, I couldn’t find any information about your date.

WITH RAGYour latest information

Can you check tomorrow’s date—where, when, and what should I bring?

A cute AI agent robot using retrieved information

I found an update: your date went official with someone else yesterday. Still want to go?

RAG, FROM IDEA TO TRUST01 / 06

WHAT RAG IS

Give AI an open book.

RAG stands for Retrieval-Augmented Generation. Before an AI answers, it looks for useful evidence in a knowledge base and places that evidence beside the question. The model still writes the response; RAG gives it the right notes at the right moment.

KNOWLEDGE
FIND EVIDENCE
QUESTION + NOTESAIGROUNDED ANSWER
THE COMPLETE RAG JOURNEY

Turn one document into an answer you can trace.

Click any step to open the real working pipeline. Change the settings, rerun the same question, and watch what changes downstream.

01 Source stays traceable02 Every transformation is visible03 Every answer brings receipts