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explainer

Posts tagged "explainer."

ai chatbotauto-syncbehind the scenesbest practicesbrandingcase studychunkingcustomer supportcustomizationdashboarddocument sourcesdocumentationembedembeddingsexplainerfile uploadgetting startedgoogle drivehallucinationhow-tointegrationknowledge basenotionpdfpricingprompt injectionragsecuritysupport ticketstokensvector searchwebsite crawlingwidget
vector search

How Vector Search Actually Finds the Right Answer

A plain explanation of similarity search — how an AI chatbot finds the right chunk of your docs to answer from, and why it works by meaning, not keywords.

3 min read
security

Prompt Injection and Why Source-Grounded Bots Are Safer

What prompt injection is, why it's a real risk for AI chatbots, and how grounding answers in scoped, trusted content reduces the attack surface.

3 min read
embeddings

Chunking and Embeddings 101: How Your Docs Become Searchable

A plain explanation of chunking and embeddings — the two steps that turn a document into something an AI chatbot can search and answer from.

3 min read
ai chatbot

Grounded vs. Hallucinated Answers: How to Tell the Difference

What separates an AI answer that's actually grounded in your documentation from one that's confidently made up — and why the distinction matters for support.

3 min read
ai chatbot

Why "Just Add ChatGPT" Doesn't Work for Customer Support

A general-purpose AI model dropped into a support widget doesn't know your product. Here's why grounding it in your own docs is the part that actually matters.

2 min read
ai chatbot

Tokens and Context Windows, Explained Without the Jargon

What a token actually is, why AI pricing is measured in them, and why a chatbot can seem to 'forget' things you said earlier in a conversation.

3 min read
ai chatbot

What Does It Actually Cost to Run an AI Chatbot?

A plain-English breakdown of what actually drives AI chatbot costs — tokens, embeddings, storage — and how to think about build-it-yourself versus buying.

3 min read
rag

What Is RAG (Retrieval-Augmented Generation), Explained for Non-Engineers

A plain-language explanation of retrieval-augmented generation — the technique behind AI chatbots that answer from your own documentation instead of guessing.

3 min read

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