Novus – Custom AI RAG System
A custom Retrieval-Augmented Generation system that cut AI hallucinations by 60% by combining AI models with structured data sources for a Sharjah tech company.
The Challenge
A tech-driven company in Sharjah required a reliable AI system that could deliver accurate, context-aware responses. Their existing AI tools were producing answers that either contained false information or lacked relevant details, and there was no trustworthy method for retrieving information from their own data sources.
- • AI systems produced answers containing false information or missing context
- • No reliable method for retrieving accurate information from internal data
- • Users lost confidence in the trustworthiness of AI-generated results
The Solution
Stackwise created a custom RAG (Retrieval-Augmented Generation) system that combines AI models with structured data sources to produce precise, grounded output. Rather than relying on model memory, the system retrieves verified data before generating each response.
Structured Data Grounding
AI responses are anchored to indexed, verified data sources — ensuring the model generates answers from facts, not hallucinated content.
Intelligent Retrieval
The retrieval layer finds the most relevant context for each query before it reaches the AI model, improving both accuracy and relevance.
Continuous Evaluation
Ongoing assessment loops monitor response quality and flag regressions, keeping output reliable as data and usage evolve.
How We Built It
1. Data Organization & Indexing
Source data was cleaned, structured, and indexed into a vector database to enable fast and accurate semantic retrieval.
2. AI System Integration
AI models were connected to the retrieval layer so every response is grounded in real, verified data rather than model-generated assumptions.
3. Ongoing Assessment & Optimisation
Continuous performance evaluation loops were established to catch quality regressions and refine retrieval precision over time.
Tech Stack
- AI/ML Models
- Vector Databases
- Cloud Computing
Build trustworthy AI systems your organisation can rely on for business-critical decisions.
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