RAG Q&A Bot

What It Does

The most popular proxy template. Upload your documentation, help articles, or any text content — then let users ask questions in natural language. The AI finds relevant passages using semantic search and responds with accurate, cited answers grounded in your docs.

Powers "Ask AI" features in documentation sites, help centers, and developer portals.

How It Works

1. Upload your docs — markdown files, help articles, API references, changelogs, or any text content
2. User asks a question in plain English through your app or website
3. Vector search finds the most semantically relevant documentation passages
4. AI responds with an accurate answer citing the specific sections it used — no hallucination

Use Cases

• Developer documentation — let users ask "how do I authenticate?" instead of searching through pages
• Help centers — instant answers to customer questions from your existing knowledge base articles
• Internal wikis — make your company's accumulated knowledge searchable by natural language
• Product guides — help users discover features and learn workflows through conversation

Why RAG

Retrieval-Augmented Generation means the AI only answers from your content. It does not make things up. Every answer is traceable to a specific document passage. When the answer is not in your docs, the AI says so — no confident-sounding hallucinations.

Upload new content anytime. The knowledge base updates in real time with no retraining or redeployment.