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Aiven Technologies
Ai Development Company in Perth Australia
Custom RAG Development in Perth
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Custom RAG Development in Perth
Actual Answers from Your Data
Most companies treat AI as a gimmick until critical data sits buried across PDFs, emails, documents & databases, that’s where RAG connects your LLM directly to your data, delivering accurate answers with source citations, transforming how your team retrieves knowledge in mere moments.
What are RAGs & How Do They Work?
A R.A.G connects your LLM to actual data rather than relying on what the AI model was trained on. When a question arrives, the system searches your knowledge sources documents, internal records, APIs through a retrieval layer and pulls relevant information before any generation happens.
That retrieved data feeds into the pipeline alongside the original query, producing a context-aware answer that is accurate and answer grounded in source documents with citations. This real-time data retrieval with natural language generation gives every business a reliable reference library from its own records.
Looking to broaden your knowledge on RAG systems, than deep dive and:
What We Offer?
In Our Custom RAG Development in Perth
Most Perth businesses sit on valuable data they never fully utilise our custom RAG development services transform that untapped knowledge into intelligent, retrieval-driven AI solutions. Here are our expertise:
Data Preparation and Structuring
Our team will clean, structure, & index your data sources documents, databases, APIs, and wikis ensuring optimal quality across all diverse formats & volume. We build a robust embedding pipeline that transforms raw content into reliable vector representations for precise semantic retrieval.
RAG Chatbot & VA Development
Our team at Aiven Technoloiges develops conversational AI system solutions delivering accurate cited answers in plain English from your own data. We train robust AI assistants using RAG pipelines with scalable cloud infrastructure, powering customer support automation that reshapes how Perth businesses access critical information.
Architecture Design & Development
Architecture conversations typically begin with models, but our team starts at your data repositories. We design tailored RAG architectures on custom RAG frameworks, deploy generative AI through APIs and knowledge bases for knowledge retrieval, document search, and enterprise data querying, enforcing data security & compliance.
Agentic RAG Development
Our team develops agentic AI systems combining RAG with autonomous workflows that retrieve, reason, and execute across documents, knowledge bases, and live business data. These intelligent agents deliver fast accurate answers through real-time data retrieval while operating securely within your existing production infrastructure and environment.
Retrieval Algorithm Engineering & Tuning
Our team engineers use retrieval logic through semantic search and hybrid search techniques, applying careful re-ranking so each query surfaces relevant context from your core business data. We then tune performance using real usage data, adjusting chunking and prompts until precision meets production-grade standards.
Multimodal RAG Development
Our team builds multimodal RAG solutions that extend beyond text-based documents to process images, audio through Whisper AI, and structured data from databases. Using GPT-4o Vision alongside Gemini Vision, we deliver accurate answers by enabling retrieval across all formats your knowledge bases contain.
LLM Integration & Prompt Augmentation
We ensure every response stays grounded in retrieved context, carefully aligning prompts with real user queries and your business tone. Rather than generic outputs, we calibrate each interaction to reflect true intent delivering accurate, document-backed answers your staff can confidently trust.
RAG Consulting & Readiness Assessment
Most teams rush into building without questioning data sources, quality, or structure first. Our RAG system consulting maps your internal documents, knowledge sources, and business problems against realistic performance expectations. We evaluate volume, define use cases, business goals, and craft an indexing strategy before code.
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Our Custom RAG Portfolio
Holotheia - AI LLM Alternative
AI Telehealth Assistant for Quality Assurance
AI Telehealth Mobile Application for Dermatologists
AI Avatar Trainer Mobile Application
AI WhatsApp Booking and Reservation System
Ride Sharing and Hailing Mobile App in Australia
Major Applications of
RAG Development in Perth
Perth businesses increasingly adopt custom RAG development to transform how their teams access, process, and utilise critical organisational knowledge daily which includes:
Document Q&A & Enterprise Search
Our team delivers enterprise search enabling staff to ask natural language questions across documents, policies, & contracts, returning accurate answers with source citations in seconds eliminating hours spent searching through folders and shared drive archives.
Smart Chatbots & Virtual Assistants
Production-grade chatbots powered by RAG move well beyond scripted replies handling customer queries & staff questions using documents with source citations & context handling, delivering accurate answers through natural language across any business scenario.
Data Refinement & Insights Extraction
Most teams overlook that raw business data needs real effort to clean, deduplicate, and structure before retrieval delivers value. Strategic indexing with proper embedding ensures your documents surface relevant information with measurable accuracy every time.
Extractive Document Summarisation
Most organisations overlook how RAG-powered retrieval with LLM-based analysis enables extractive summarisation across document-heavy industries. Staff querying lengthy compliance documents now receive condensed, accurate answers with source citations linking directly to relevant sections within PDFs.
Our Process for Custom RAG Development in Perth
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Discovery, Data Audit, & Requirements Gathering
Every discovery call starts by pinpointing the core business problem before mapping all knowledge sources across document sources like SharePoint, Google Drive, internal wikis, databases, and file servers. This structured approach defines each scoping engagement around your precise use case.
Data Preparation, Preprocessing, & Structuring
We clean and structure raw data from emails, wikis, and databases before any embedding begins applying deliberate chunking to optimize each segment for reliable retrieval at scale. Without this disciplined preprocessing, even sophisticated pipelines will return fragmented, unreliable results consistently.
Retrieval Layer Engineering
Our retrieval layer engineering starts where most teams falter the retrieval mechanism itself. We build production-grade retrievalc pipelines combining hybrid search strategies with re-ranking models, so your indexed data consistently surfaces relevant context before the LLM crafts accurate source-cited answers.
LLM Integration & Prompt Engineering
We integrate leading LLM platforms including Claude, GPT-4o, Gemini, & Llama with precisely engineered prompts designed to shape how retrieved context drives every output. This approach ensures user queries consistently produce grounded responses anchored directly in your verified business knowledge.
RAG Pipeline Testing & Optimisation
Before any RAG pipeline goes live, we rigorously validate it against real user queries to measure latency, hallucination rates, and source citation quality, ensuring every response meets the standards your team expects from production systems.
Production Deployment
Most RAG system builds falter because production readiness was an afterthought. We bake monitoring, logging, & full observability in from the start letting your team catch retrieval gaps against actual queries before accuracy quietly erodes.
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Frequently Asked Questions
What types Of documents can a RAG system handle?
PDFs, Word documents, Excel spreadsheets, PowerPoint presentations, HTML pages, emails, and even scanned documents requiring OCR, a capable RAG system handles them all. Databases and APIs also integrate, supporting every business through its ingestion pipeline.
Is our data safe with a RAG system?
At Aiven Technologies, our RAG systems keep your data within your own environment deployed on Azure, AWS, or on-premise infrastructure. Role-based access controls, encryption at rest, encryption in transit, and audit logging ensure only authorised users access documents.
Is RAG compatible with our existing systems?
Most RAG systems connect seamlessly with CRMs, ERPs, knowledge bases, websites, and internal applications through APIs and standard connectors. An integration layer handles deployment without disrupting your current infrastructure or workflows.
How much does custom RAG development cost in Australia?
A focused RAG system with a single document source built for internal team use typically ranges from AUD $15,000 to $25,000. Enterprise RAG systems with complex access controls & customer-facing deployment reach AUD $30,000 to $50,000.