AI Development

RAG System Development

Work with a RAG application development company Australian teams can collaborate with during Australian working hours (AEST/AEDT). We design ingestion, hybrid search, and guardrails so answers stay grounded and traceable.

Timeline6-12 weeks
Starting at$700

Benefits

What you get

RAG implementation services for PDFs, docs, tickets, and wikis

RAG development services: ingestion, indexing, and continuous tuning

Chunking + metadata strategy for high-quality retrieval

Vector database setup (Pinecone, Weaviate, Chroma, pgvector)

Hybrid search + reranking for stronger accuracy

Citations and highlighted excerpts in answers

Monitoring, evals, and regression testing over time

Features

What we deliver

Ingestion & Normalization

Parse PDFs, Word, Markdown, web pages, and knowledge tools. Keep structure where it matters (headings, sections, tables) and add clean metadata.

Chunking & Metadata Design

Right-sized chunks, smart overlap, and reliable metadata (product, version, date, owner) so retrieval stays accurate and maintainable.

Embeddings & Indexing

Use OpenAI, Cohere, or open-source embeddings depending on cost, privacy, and language needs. Support scheduled re-indexing and incremental updates.

Hybrid Search + Reranking

Combine semantic + keyword search and rerank results for stronger precision—especially for product names, error codes, and exact phrases.

Grounded Answers + Citations

Answers include citations and highlighted excerpts. If sources are weak, the system can ask follow-ups or respond with a safe fallback.

Quality, Safety & Observability

Evaluation sets, failure tracking, prompt/version control, and metrics (retrieval hit rate, citation quality) so performance improves over time.

Process

How we work

1
1-2 weeks

Discovery

Requirements gathering and planning

2
2-3 weeks

Design

UI/UX design and prototyping

3
6-12 weeks

Development

Iterative sprints with demos

4
1-2 weeks

Launch

Deployment and support

Tech Stack

Technologies we use

Core

OpenAI (GPT family)Anthropic ClaudeRAGLangChain / SDK-first

Tools

PineconeWeaviateChromapgvector (Postgres)

Services

Next.jsPython / FastAPINode.js

Use Cases

Who this is for

Internal Knowledge Assistant

Search SOPs, policies, onboarding docs, and runbooks with citations and permission-aware access.

Support Deflection (Grounded)

Answer product questions from your docs and help-center content, with escalation paths when confidence is low.

Document & Research Workflows

Summaries, Q&A, and comparisons across large document collections (legal, technical, compliance) with traceability.

Search Upgrade

Turn keyword search into “answer + sources” experiences while still supporting classic search results when needed.

FAQ

Frequently asked questions

No system can guarantee zero errors. RAG reduces hallucinations by grounding answers in retrieved sources, adding citations/excerpts, and using safe fallbacks when evidence is weak.

PDFs, Word/Google Docs, Markdown, websites, help centers, databases, and tools like Notion/Confluence/Drive. We choose connectors based on your stack and access controls.

We add evaluation queries, track bad answers, tune chunking/metadata, improve prompts, and introduce reranking or hybrid search where needed. It’s an iterative loop, not a one-time setup.

Yes. We can implement per-user access rules, tenant isolation, and source-level permissions. The final approach depends on your identity system and where documents live.

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Regional

Delivery considerations for your region

Compliance & Data (AU)

For Australian teams, we keep privacy and data-handling explicit: access boundaries, safe logging, and clear retention policies.

We can support residency-sensitive designs (where feasible) and document data flows for stakeholder review.

  • Privacy Act-aware delivery posture (generic, no legal claims)
  • Documented data flows and access boundaries
  • Retention/deletion options where required
  • PII-safe logging and least-privilege defaults
  • NDA and DPA templates available on request

Timezone & Collaboration (APAC)

We support APAC collaboration with AEST/AEDT-friendly meeting windows and async progress updates.

We keep momentum with weekly milestones, crisp priorities, and predictable release planning.

  • APAC overlap with AEST/AEDT windows
  • Async-first updates and written decisions
  • Weekly milestone demos and scope control
  • Release planning with staged rollouts
  • Clear escalation path for blockers

Engagement & Procurement (AU)

We can structure engagements with clear scope, milestones, and invoicing that fits common procurement expectations.

If you need a lightweight vendor onboarding pack, we can provide delivery process notes and security posture summaries.

  • AUD-based engagements and invoicing options
  • Milestone-based billing for fixed-scope work
  • Time-and-materials for evolving scope
  • Procurement-friendly documentation on request
  • Optional paid discovery to de-risk delivery

Security & Quality (APAC)

With APAC teams, async clarity matters: written decisions, stable releases, and test coverage that prevents regressions.

We use performance budgets and release checklists so handoffs stay smooth across timezones.

  • CI-friendly testing: unit + integration + smoke tests
  • Performance budgets + bundle checks
  • Release checklist + rollback plan for production launches
  • Security checklist for auth and sensitive data flows
  • Observability hooks (logs + error tracking) ready for production
Ready to start?

Want help with RAG system development?

Share your sources and access rules—we’ll outline a production-ready RAG plan with milestones, evaluation criteria, and AUD-based delivery.

Reply within 2 hours. No-pressure consultation.

    RAG Development Company Australia | Softment | Softment