Knowledge Base & RAG on GPTWeb

2 views
Hi, Welcome back! GPTWeb's Knowledge Base is powered by a proprietary Two-Phase Semantic RAG Engine that grounds every AI response in your actual content rather than generic training data. When a visitor asks a question, the system first routes the query to the most relevant Collections (Phase 1), then performs a focused semantic search within those collections to retrieve the best-matching chunks (Phase 2). That context is handed to the LLM to generate an accurate, on-brand answer. Explore Use Cases or jump into Getting Started when you're ready.
~95%
Answer Accuracy
~70%
vs Single-Phase RAG
40%
Default Collection Threshold
Up to 5,000 pages
Crawl Capacity
you can populate the knowledge base quickly using the built-in Web Crawler (Admin Panel → App Configuration → KB Tuning & Crawler → Crawl Content), which supports HTML, PDFs, and images, with AI auto-categorization and visual curation before upload. Combined with multimedia support for videos, spreadsheets, and charts, your organization gets a complete, enterprise-grade knowledge ecosystem. GPTWeb is the future of engagement, websites, and marketing automation combined, built for the AI era, built for now.

Need more help?

Our AI assistant can answer any question instantly.

Continue This Conversation