Hierarchical RAG for Multi-Location Businesses
Industry-leading Retrieval Augmented Generation (RAG) with universal sources system. Attach documents and webpages to chatbots, tools, assistants, and APIs for grounded, fact-based AI responses. Perfect for hotel groups, franchises, and multi-branch operations.
Upload Your Knowledge
Add documents, scrape webpages, or paste text snippets. All content is processed and indexed automatically.
Attach to AI Experiences
Link one or more sources to your chatbots, tools, assistants, or API personas. Mix and match as needed.
AI Retrieves Relevant Context
When questions come in, the RAG pipeline automatically retrieves the most relevant information from your sources.
Generate Grounded Responses
AI generates answers based on retrieved facts. Cites sources, eliminates hallucinations, delivers accurate results.
Why Hyperleap RAG is Different
Industry-leading retrieval architecture designed for real-world business complexity
Hierarchical RAG Architecture
Industry's only solution for multi-property and multi-location businesses. Centralized knowledge with location-specific information.
- Single knowledge base for all locations
- Location-specific overrides and customizations
- Updates propagate to all properties instantly
- Eliminate duplicate content management
- Perfect for hotel groups, franchises, multi-branch operations
Universal Sources System
Attach one or more sources to any AI experience across the entire Hyperleap platform. Sources work everywhere, not just in one product.
- Works with Chatbots (Bot Studio)
- Works with AI Tools (AI Studio)
- Works with AI Assistants (AI Studio)
- Works with Prompts & Personas APIs
- Consistent knowledge across all touchpoints
Zero Hallucinations
Ground AI responses in your actual documents and webpages. Achieve 99% response accuracy with fact-based answers.
- Only answers from uploaded sources
- Cite sources in generated outputs
- No made-up information
- Compliance-ready for regulated industries
- Audit trail of knowledge sources
Simple Setup, Powerful Results
One-time configuration with enterprise-grade retrieval. Upload once, use everywhere across your AI stack.
- Upload PDFs, Word docs, text files
- Scrape webpage content automatically
- Add text snippets directly
- No coding or technical skills required
- Instant availability across all AI experiences
Hierarchical RAG: Industry-First Architecture
Most competitors use flat RAG, requiring separate knowledge bases per location. Hyperleap's hierarchical architecture lets you manage one centralized knowledge base with location-specific overrides.
Global Knowledge
Brand guidelines, corporate policies, general FAQs
Regional Knowledge
Region-specific pricing, local regulations, language preferences
Location-Specific Knowledge
Property amenities, local staff, specific hours, unique offerings
Result: Scalable, Maintainable Knowledge
Update your brand guidelines once → propagates to all 50 hotel locations instantly. Override locally when needed (e.g., different check-in times per property). Competitors require you to update 50 separate knowledge bases.
Supported Source Types
Upload your knowledge in multiple formats. We handle the processing automatically.
Documents
PDFs, Word docs, text files
Webpages
Scrape content from URLs
Text Snippets
Paste content directly
Sources Work Across All Hyperleap Products
Upload once, attach everywhere. The same sources can power chatbots, internal tools, assistants, and API integrations.
Chatbots (Bot Studio)
Attach product manuals, FAQs, and policy documents so your chatbot answers customer questions with 99% accuracy.
AI Tools (AI Studio)
Create tools that extract insights from company reports, contracts, or research papers by attaching them as sources.
AI Assistants (AI Studio)
Build internal assistants grounded in employee handbooks, process docs, and training materials for accurate team support.
Prompts & Personas APIs
Attach sources to API personas for fact-based responses in your applications without rebuilding knowledge infrastructure.
Technical Specifications
Enterprise-grade retrieval infrastructure with simple setup
Supported Formats
- PDF documents
- Microsoft Word (.docx)
- Plain text (.txt)
- Markdown (.md)
- HTML webpages
- Raw text input
Processing
- Automatic content extraction
- Intelligent chunking
- Vector embeddings
- Semantic indexing
- Fast retrieval (<2s)
- Relevance scoring
Deployment
- One-time setup
- No auto-sync (manual updates)
- Platform-wide availability
- Attach to unlimited AI experiences
- Version control ready
- Audit logs included
Flat RAG vs Hierarchical RAG
Why most competitors can't handle multi-location businesses effectively
One Bot per Location
- ✗Separate knowledge base for each location
- ✗Update brand guidelines → manually update 50 knowledge bases
- ✗No inheritance or shared knowledge
- ✗Inconsistent answers across locations
- ✗Nightmare to maintain at scale
Centralized + Local Knowledge
- Single centralized knowledge base for all locations
- Update once → propagates to all properties instantly
- Global + Regional + Local knowledge inheritance
- Consistent brand voice with local customization
- Scales effortlessly to hundreds of locations
Ready to Build Grounded AI Experiences?
Start with our universal sources system. Upload your knowledge once, use it everywhere across chatbots, tools, assistants, and APIs.