Domain-Specific Precision
Your AI leverages your exact documents and data
At PTEC, we empower Australian companies to bridge large language models with their own knowledge sources using RAG (Retrieval‑Augmented Generation). By integrating real-time data retrieval, embeddings, and inference, our RAG solutions deliver accurate, context-aware responses grounded in your domain expertise.
In Australia’s tightly regulated markets, generic AI solutions introduce unacceptable risk. PTEC delivers sovereign RAG architecture that redefines what enterprise AI can achieve—combining cutting-edge generative capabilities with military-grade compliance controls, all hosted exclusively on Australian soil. We engineer courtroom-ready AI systems where every response is precisely cited like legal testimony and grounded in your APRA-approved data sources. All processing occurs securely through AWS/Azure Australian regions with end-to-end encryption, and every output is automatically validated against RG 271, TGA, or FOI requirements before delivery. For financial institutions, this means RG 209-perfect product disclosures that auto-update with ASIC changes. Healthcare providers gain TGA Part 11-compliant patient advice engines, while government agencies deploy FOI response systems with built-in PII redaction.
PTEC’s RAG services fuse your trusted data with powerful language models—delivering accurate, traceable, and fresh responses smarter than standalone LLMs.
We turn your internal and external documents into searchable embeddings, creating instant access to relevant knowledge.
Similarity search retrieves the most relevant content quickly, even across large volumes of documents.
Retrieved knowledge is fed into prompts, keeping responses grounded, correct, and tailored to context.
As your content changes, so does the RAG index—ensuring responses reflect the latest information.
PTEC builds RAG systems that combine the best of search and generation—delivering intelligent, accurate, and context-aware responses.
We handle indexing, retrieval, guardrails, and observability to make your RAG deployment reliable and impact-ready.
Your AI leverages your exact documents and data
Designed for efficiency, multilingual support, and growing datasets
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