Answer any question using verified company knowledge—instantly and accurately.
What it is
RAG Bot (short for Retrieval-Augmented Generation) gives your chatbot a real brain. Instead of guessing, it searches your stored documents and uses only that information to answer questions, summarize content, or explain your services.
Each business gets its own vector database of verified facts—pulled from your website, blog posts, and structured data like JSON-LD. When a user asks something, RAG Bot retrieves the most relevant chunks and builds a clear, confident response.
Why it matters (especially for SEO agencies)
- Reliable answers: Every response is grounded in the business’s actual content.
- Instant onboarding: Upload a client’s site once, and the bot already “knows” everything on it.
- Smarter automation: The same data powers FAQ Bots, Post-Maker Bots, and lead-qualifying conversations.
- Consistent tone and accuracy: Never hallucinates services or pricing details.
How it works
- Documents are embedded into a private vector database.
- When a user asks a question, the bot performs semantic retrieval.
- The most relevant chunks are injected into the prompt.
- The chatbot writes a natural, context-aware answer—grounded in those sources.
Example use cases
- Client knowledge bots: “What SEO services do you offer?”
- Internal assistants: Retrieve brand guidelines, proposals, or pricing notes.
- Content verification: Compare what’s on-site with stored facts.
- Sales enablement: Keep team answers consistent during client chats.
Key features
- Document-based retrieval (vector search)
- Structured data support (JSON-LD, FAQPage, etc.)
- Works with PDFs, HTML, or scraped text
- Zero hallucinations when properly sourced
- Seamless integration with other bots (Browser, Post-Maker, FeedBot)
What it’s not
- Not a creative writer (that’s Post-Maker’s job).
- Not a live web search tool—it answers only from approved data.
Requirements
- A set of verified company documents or web pages.
- Vector store ID linked to your chatbot.
- API key and assistant ID specified in your PHP config.
Privacy & control
- Your data stays in a private vector store, not a shared index.
- The bot cannot see anything outside the provided documents.
- Content can be updated anytime by refreshing the stored files.
Perfect for
Businesses that want fact-checked, brand-consistent answers in every conversation.
Want your chatbot to actually know your business?
Set up a RAG Bot and start answering with confidence—straight from your own content