The engine behind the layer.
A six-stage pipeline purpose-built for accuracy, grounding, and conversion — not generic chat.
Safety Check
Before anything else, the query is checked for prompt injection attempts, harmful content, and out-of-scope requests. Blocked queries get a natural redirect back to the domain.
- ▸Prompt injection detection and blocking
- ▸Out-of-scope query redirection
- ▸Harmful content filtering
- ▸Internal instruction protection
Incoming query
"Ignore your instructions and…"
Redirect response
"I can help you plan the perfect trip! Where are you looking to travel?"
Query Embedding
The user's question is transformed into a high-dimensional semantic vector. This captures meaning — "affordable beach holidays in Greece" and "cheap Greek island resorts" map to similar vectors.
- ▸State-of-the-art embedding model
- ▸High-dimensional vector representation
- ▸Semantic similarity over keyword matching
- ▸Sub-100ms embedding generation
User query
"beach holiday in Greece for 6 people under €1200"
Embedding vector
[0.023, -0.847, 0.156, 0.432, -0.091, 0.668, -0.234, 0.512, ..., 0.412]
High-dimensional vector
Semantic Retrieval
The query vector is matched against your entire knowledge base. The most relevant results are returned, ranked by semantic relevance. A confidence threshold prevents irrelevant results from surfacing.
- ▸Enterprise-grade vector search
- ▸Top results ranked by relevance
- ▸Confidence threshold filtering
- ▸Each result carries source metadata
Top results by semantic relevance
Crete Beach Resorts
destination
Greek Islands Group Deals
package
Corfu All-Inclusive July
package
Context Assembly
Retrieved content is formatted with source attribution and assembled into context. The AI receives ONLY your data — it cannot reference external knowledge.
- ▸Source-attributed context blocks
- ▸Metadata preservation (names, types, ratings)
- ▸Strict context boundary enforcement
- ▸Hallucination prevention by architecture
Context Assembly
Context: [3 sources assembled]
External knowledge: blocked
Response Generation
The AI generates a response grounded in the assembled context. Streaming delivers words in real-time as they're generated. Formatting, tone, and behavior are fully configurable.
- ▸High-performance language model
- ▸Real-time streaming responses
- ▸Sub-500ms first-token latency
- ▸Configurable tone and formatting rules
For a group of 6 in July, I'd recommend Chania, Crete for stunning beaches and nightlife, and Corfu for a quieter, more scenic experience. Both have group packages…
Lead Scoring
After every response, the conversation is analyzed for buying signals. A deterministic scoring algorithm assigns a 0–10 quality score and priority tier — in under 10ms.
- ▸Contact depth signals — phone, email, name
- ▸Intent signals — destination, dates, budget
- ▸Urgency signals — near-term dates, explicit requests
- ▸Instant scoring — no delays, pure algorithmic
See it in action.
Watch the six-stage pipeline turn a visitor question into a qualified lead — live.