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RAG

7 posts

RAG chatbot vs traditional chatbot comparison
RAG

RAG Chatbot vs Traditional Chatbot: Which One Should You Use in 2026?

Rule-based, generic LLM, and RAG chatbots look similar from the outside. From the inside, they fail in very different ways. Here is how we think about the choice.

6 min read
Uppzy RAG pipeline overview
RAG

Introducing Uppzy RAG: AI That Answers Only From Your Content

RAG is how we keep AI honest. Here's how Uppzy grounds every answer in your own content.

1 min read
How to train a chatbot on your own data
AI Chatbot

How to Train a Chatbot on Your Own Data (Without Fine-Tuning)

Half of the 'training' advice online is about fine-tuning. For a business chatbot, you almost never need it. Here is what actually moves the needle — and the mistakes we see teams make.

7 min read
What is a RAG chatbot
RAG

What Is a RAG Chatbot? A Plain-English Explanation (With Why It Matters)

Every AI chatbot vendor now mentions RAG. Almost none of them explain what it actually is in plain language. Here is the explainer we wish existed when we started building ours.

7 min read
Chart showing accuracy improvements with RAG
RAG

How RAG Improves Chatbot Accuracy by 10x

Raw LLMs hallucinate. RAG doesn't. Here's the technical reason, and what it means for your support team.

1 min read
AI chatbot without hallucinations
AI Chatbot

How to Build an AI Chatbot Without Hallucinations (And Why Most Fail)

Hallucination is not a bug you can prompt your way out of. It is a structural property of how generic LLMs work. Here is what it takes to actually build a chatbot that does not make things up.

8 min read
Chatbot that learns from documents
AI Chatbot

A Chatbot That Learns From Your Documents: How It Works and When to Use One

Every chatbot vendor now claims the bot 'learns from your documents.' The reality is more specific — and more interesting — than the marketing suggests.

7 min read

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