AI Engine

The brain behind every answer.

Dunefox's RAG-powered AI Engine retrieves from your exact data before generating a response — eliminating hallucinations and ensuring every answer is grounded in truth.

No credit card · 2-min setup · Free 14-day trial

Retrieval-Augmented Generation (RAG)
Zero hallucinations from your data
Sub-200ms response time
Multi-model routing (GPT-4o, Gemini, Claude)
40+ language support
Contextual memory per conversation
PDF DocsWebsite URLsFAQs / QnAAPI DataRETRIEVEVector DBSemantic Searchcosine similarityAUGMENTLLM CoreGPT-4o / GeminiClaude / CustomGENERATEGrounded Response⚡ <200msUser Query / Intent

0%

Hallucination rate

RAG

Always grounded

<200ms

Response latency

How the RAG Engine works

Five steps between a question and a verified answer.

Unlike standard LLMs that generate from memory, Dunefox retrieves first — grounding every response in your exact business knowledge. Here's the pipeline, step by step.

01

User Query

Natural language question arrives from any channel — WhatsApp, web chat, Instagram, or Telegram.

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, cited answer using only the injected context. Zero hallucination. Every response traceable.

Verified generation

Powered by your Knowledge Base

The vector store (step 03) is populated from your own PDFs, help docs, FAQs, URLs, and product catalogues. The model never invents — it only retrieves.

0%

Hallucination Rate

Grounded from your data

<200ms

Response Latency

End-to-end pipeline time

4

LLM Models

Auto-routed by task

40+

Languages

Including 15+ regional

Under the Hood

Every component. Purpose-built.

LLM Core
RAG ARCHITECTURE

Retrieves before it generates

Unlike standard LLMs that guess, Dunefox first searches your knowledge base for semantically relevant chunks — then passes that context into the model. Every answer comes from your data.

100%sourced from your data
0generic responses
↑68%accuracy vs base LLM
ROUTERIntelligentGPT-4oGeminiClaudeCustomUser Query
MULTI-MODEL ROUTING

The right model for the right task

Simple FAQs route to fast, cost-efficient models. Complex reasoning tasks escalate to GPT-4o or Claude. Dunefox automatically selects the optimal model — balancing cost, speed, and quality.

4LLM providers
60%avg cost reduction
Automodel selection
Remembered
CONTEXTUAL MEMORY

Remembers. Connects. Personalises.

Dunefox maintains full conversation context — within a session and across sessions for returning users. The AI references past queries, preferences, and history to give progressively smarter answers.

context window per session
30dpersistent memory
↑42%satisfaction score lift
Supported Models

One engine. Any model.

Dunefox auto-routes to the best model for each task — optimizing for cost, latency, and accuracy simultaneously.

Flagship

GPT-4o

OpenAI

Complex reasoning, long-form generation, analysis

Available on all plans
Multimodal

Gemini 1.5 Pro

Google

Multimodal reasoning, Indian language support

Available on all plans
Nuanced

Claude 3.5

Anthropic

Nuanced writing, safety-critical responses

Available on all plans
BYO

Custom LLM

Your Model

On-premise or industry-specific fine-tuned models

Available on all plans
🔧

Fine-tuning available for Enterprise

Train a custom model on your historical conversations and domain vocabulary. Available on the Enterprise plan.

AI Engine · F1-grade RAG

Put the most advanced AI engine to work for your business.

Zero hallucinations. Sub-200ms answers. Grounded in your exact data. Start free — no credit card required.

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