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AI ENGINE

The brain behind every answer

Dunefox’s RAG-powered AI engine retrieves from your approved content before generating a response. If the required information is not available, the conversation can be handed to your team instead of relying on a guessed answer.

Retrieval-Augmented Generation (RAG)
Answers grounded in approved content
Streamed response delivery
Enterprise-grade security
50+ language support
Contextual memory per conversation
📄 PDF & Docs🌐 Website URLs FAQs & Knowledge Live APIs & CRMRAG CoreVector DBGPT-4oGemini 1.5Claude 3.5
Answer deliveryStreaming
ENGINE CAPABILITIES

Built for enterprise-grade accuracy and speed

Every component of Dunefox AI Engine is optimized to deliver grounded, accurate, and instant responses.

LLM Core
Semantic searchVector DB
Fact groundingApproved sources
RAG ARCHITECTURE

Retrieves facts before it generates answers

Unlike standard LLMs that guess, Dunefox first searches your private knowledge base for semantically relevant chunks, then passes that context into the model. Every answer is grounded in your truth.

RAGknowledge retrieval
Privateworkspace content
Scopedapproved sources
Smart RouterFast FAQ (Llama-3)Standard (Gemini)Complex (GPT-4o)
Engine speedStreamed response
Vector indexInstant lookup
REAL-TIME PERFORMANCE

Fast retrieval and streamed answers

Dunefox is engineered for speed. From vector index lookup to response streaming, queries are resolved in real time, keeping your web visitors and WhatsApp customers engaged without delay.

Indexedknowledge search
Streamedresponse delivery
Liveconversation context
Thread memoryMulti-turn context
State trackingUser preferences
CONTEXT & MEMORY

Remembers context across the entire conversation

Dunefox retains complete thread memory and user state across multiple turns. It remembers user preferences, order numbers, and previous questions without asking twice.

Multi-turnconversation memory
Scopedcontext retrieval
50+languages supported
HOW IT WORKS

5-stage RAG pipeline architecture

How Dunefox ingests questions, searches your knowledge vectors, and produces answers grounded in approved content.

01

User Query

A customer question arrives from WhatsApp, web chat, social messaging, or a Dunefox Voice call.

Multi-channel ingestion
02

Embedding

The query is converted to a high-dimensional vector using a best-in-class embedding model.

Semantic representation
03

Vector Retrieval

Cosine similarity search finds the K most semantically relevant chunks from your private knowledge base.

Top-K semantic search
04

Context Injection

Retrieved chunks are injected into the LLM prompt as grounding context, bounding the model to only your data.

Prompt augmentation
05

Grounded Answer

The LLM generates a precise response using only verified facts, eliminating hallucination entirely.

Knowledge-grounded output
Supported channels
Dunefox Web AI AgentVoice
Voice

How conversational AI becomes an AI voice agent

Dunefox Voice extends the Dunefox AI engine to phone calls. Caller speech enters the conversational AI workflow, approved knowledge is retrieved, and the response returns as natural speech with the conversation context intact.

  • Understand caller intent from natural speech
  • Retrieve approved business knowledge
  • Generate a grounded response
  • Return the answer through the selected voice stack
Explore the Voice AI engine
Dunefox Voice call transcript, summary, and outcome
INTEGRATIONS & SECURITY

Connects to your tools. Protects your data

Connect your existing tools, including telephony providers for AI voice calling, and trust that every customer conversation is protected by enterprise-grade security architecture.

Encrypted in transit and at rest

Every conversation and customer record is protected at every layer.

Enterprise isolation

Your data is strictly sandboxed per workspace.

High-availability infrastructure

Built on managed cloud infrastructure with monitoring and backups.

GDPR-ready controls

Data export and deletion workflows are available.

Dunefox integrations ecosystem connecting WhatsApp, CRM, and business tools
Plivo · Voice telephonyTwilio · bring your own key
FAQ

Frequently asked questions about Dunefox AI Engine

Still have a question?

Contact us. We will be happy to help you.

JD
SK
AM
How does Dunefox AI Engine prevent hallucinations?

Dunefox uses a Retrieval-Augmented Generation (RAG) architecture. Before generating an answer, it performs semantic vector search over your uploaded documents, websites, and FAQs. The retrieved facts are injected into the prompt as grounding context, forcing the AI to answer strictly using your verified data.

How does Dunefox handle data security and privacy?

Data ingested into the Dunefox AI Engine is encrypted in transit and at rest. Knowledge bases and conversation records are isolated to the relevant workspace and are not used to train public AI models.

What languages does the AI Engine support?

The AI engine natively supports over 50 languages including English, Hindi, Spanish, French, German, Arabic, Portuguese, and Hinglish with auto-detection and real-time translation.

How fast is the average response time?

Dunefox uses indexed knowledge retrieval and streams answers as they are generated. Actual response time depends on the connected channel, model provider, knowledge source, and network conditions.

AI ENGINE

Put the most advanced AI engine to work for your business

Bring conversational AI tools and conversational AI for customer support into one grounded workflow with fast retrieval and human handoff.

14 days free. All Fox Pro features. No card required.