Internal knowledge assistants
Staff ask questions across SOPs, HR policies and product docs and get answers with source links.
Singapore · UK · Worldwide
RAG & LLM Development for global teams.
Large language models connected to your own documents and data, giving grounded answers with citations and the access controls your compliance team expects.
Retrieval-augmented generation (RAG) lets a large language model answer from your policies, manuals, contracts and knowledge base instead of guessing. KenStack designs and builds RAG systems and LLM integrations that give staff and customers fast, cited answers grounded in your own content.
For clients in Singapore, the UK and elsewhere, data handling comes first. We can host vector databases and models in the region you choose, such as AWS Singapore or AWS London, use enterprise LLM APIs that exclude your data from training, or deploy open-source models entirely on your own infrastructure. Document permissions carry through to search, so people only see answers from files they are allowed to read.
Every system is evaluated before launch on a test set of real questions, measuring answer accuracy, citation quality and refusal behaviour. After go-live we monitor cost per query, latency and feedback, and tune retrieval, prompts and models as your content grows.
What We Build
What we build with RAG & LLM systems.
Typical projects we deliver, each scoped around a measurable business result.
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Customer support answers
Support agents and help centres answer from approved content, reducing tickets and handling time.
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Contract & document Q&A
Search, compare and summarise contracts, tenders and reports with clause-level citations.
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Semantic & hybrid search
Vector and keyword search over large document sets, far beyond simple keyword matching.
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LLM features in your product
Summaries, drafting, classification and extraction added to your SaaS or internal tools.
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Private LLM deployments
Open-source models hosted in your own cloud account when data cannot leave your environment.
How We Work
From discovery to production in four steps.
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01
Discovery
A free call and short audit to understand goals, users, data and constraints, ending in a clear scope and quote.
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02
Design & architecture
Wireframes, data model and technical plan reviewed with you before development starts.
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03
Build in sprints
Development in one to two week sprints with a working demo and your feedback each time.
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04
Launch & support
Testing, deployment, training and a warranty period, then optional monthly support.
FAQ
RAG & LLM Development: common questions
What is RAG and why use it instead of a plain chatbot?
Retrieval-augmented generation finds the most relevant passages in your documents and gives them to the language model before it answers. Answers stay grounded in your content, include citations and are much less likely to be invented.
Can our data stay in Singapore or the UK?
Yes. We can host documents, embeddings and the application in a cloud region you choose, such as AWS Singapore or AWS London, and use model providers or self-hosted models that meet your data residency requirements.
How do you handle PDPA and UK GDPR obligations?
We design for data minimisation, access control, retention limits and audit logging, and document how personal data flows through the system so your data protection officer can review it. Compliance decisions remain yours, and we support your assessment with technical detail.
Which language models do you work with?
We work with OpenAI and Azure OpenAI, Anthropic Claude, Google Gemini and open-source models such as Llama and Mistral, and choose based on accuracy, cost, latency and where the data must be processed.
More AI Services
Often paired with this.
AI Chatbot Development
Support, sales and knowledge chatbots that answer from your content, capture leads and hand over to a person when they should.
ExploreAI Document OCR & Data Extraction
Invoices, forms and scanned documents read by AI, checked against your rules and posted straight into your ERP, CRM or accounting system.
ExploreCustom AI Application Development
AI features built into the software your team already uses, scoped around one business metric and shipped to production.
ExploreReady to start with RAG & LLM systems?
Tell us what you want to achieve. In a free 30-minute call, on Singapore or UK time, we will suggest the right approach, scope and timeline.