RAG & Fine-tuning
Give LLMs Your Business Knowledge. Get Expert-Level Answers.
Retrieval-Augmented Generation and fine-tuning services that transform generic LLMs into domain-expert AI systems trained on your proprietary data โ with accuracy, privacy, and full control.
WHAT WE BUILD
Use Cases & Applications
Knowledge Base AI
AI that answers questions from your internal docs, SOPs, and knowledge bases.
Document Q&A
Upload PDFs, contracts, reports โ get instant, cited answers from any document.
Domain Expert AI
Medical, legal, financial, and technical AI tuned on specialised domain data.
Private GPT
Fully on-premise or VPC-deployed LLM โ no data leaves your infrastructure.
Customer Support AI
Support bot trained on your product documentation, FAQs, and support history.
Workflow Automation
AI agents that read, classify, and route documents and emails automatically.
HOW WE WORK
Our Delivery Process
Data Audit
Identify, clean, and chunk your knowledge sources for vector storage.
RAG Architecture
Design retrieval pipeline, embedding strategy, and relevance ranking.
LLM Selection
Choose base model (GPT-4o, Llama 3, Mistral) based on cost, privacy, and accuracy needs.
Fine-tuning (if needed)
Supervised fine-tuning on domain data for tasks where RAG alone is insufficient.
Evaluation & Deploy
Ragas/BLEU evaluation, hallucination testing, and production deployment.
TECHNOLOGY STACK
Tools & Technologies We Use
COMMON QUESTIONS
Frequently Asked Questions
โ When should I use RAG vs fine-tuning?
RAG is best for grounding answers in up-to-date documents. Fine-tuning is better for teaching a model a specific style, format, or specialised reasoning pattern. Most production systems combine both.
โ Is my data safe?
Yes. We can deploy entirely on your own cloud (AWS, GCP, Azure) or on-premise. No proprietary data is sent to third-party AI providers unless you choose cloud APIs.
โ What accuracy can we expect?
Well-implemented RAG systems typically achieve 85-95% answer relevance on domain-specific tasks. We benchmark every deployment against your acceptance criteria.
Ready to Build RAG & Fine-tuning?
Get a free consultation and detailed proposal within 24 hours โ no commitment required.
