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Build AI chatbots people can verify and trust.

Practical guidance for turning documents and web pages into useful conversations, testing failure cases, and choosing a platform with clear costs.

Complete guide

How to build an AI chatbot trained on your documents

The complete walkthrough: models, ingestion, hybrid retrieval, grounding, citations, tone, publishing, and conversation review.

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Website chatbot guide

How to Add an AI Chatbot to Your Website

Add an AI chatbot to your website using your own content. Follow a practical setup, testing, citation, handoff, and launch checklist.

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PDF chatbot guide

Build a Chatbot That Answers From PDF Files

Turn PDF files into a cited AI chatbot. Learn what PDFs work well, how retrieval works, what to test, and how to embed the result.

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RAG chatbot guide

RAG Chatbot: Retrieval, Grounding and Testing

Understand how a RAG chatbot retrieves evidence, combines keyword and semantic search, adds citations, and handles missing answers.

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A reliable chatbot starts with a testable scope

Begin with one audience, one job, and a small set of current sources. Write down real questions before changing prompts or models. This gives you a stable evaluation set and makes retrieval failures easier to diagnose.

Improve the source, then repeat the test

Review cited passages, unsupported claims, and unanswered questions separately. When a source is missing or unclear, correct that material and rerun the same questions. Keep account-specific actions and business decisions with authorized people or systems.

Ready to test your content?

Create a chatbot on the free plan, add one focused source, and ask the questions your visitors already ask.

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