Softment
AIKnowledge bases, chatbots, Q&A systems

Technology

RAG Systems

Build RAG systems that stay accurate—retrieval, grounding, citations, and evaluation designed for real user questions and safe iteration.

Best For

Ideal use cases

Chatbots needing company-specific knowledge

Question-answering systems

Applications requiring factual accuracy

Knowledge bases with AI search

Customer support automation

What We Build

Projects we deliver

Knowledge base chatbots

Document Q&A systems

Customer support assistants

Internal knowledge search

Research assistants

Educational platforms

Legal document analysis

Technical documentation assistants

Ecosystem

Compatible tools & integrations

Seamless Integrations

Works with your existing stack

7+ supported
OpenAI GPT models
Vector databases (Pinecone, Weaviate)
LangChain for orchestration
Document loaders and parsers
Embedding models
Chunking strategies
Retrieval mechanisms

Use Cases

Recommended use cases

Customer support chatbots with product knowledge

Internal knowledge bases with AI search

Educational platforms with Q&A

Research tools analyzing documents

Applications needing accurate, sourced responses

Delivery

How we deliver

We design RAG systems with proper document chunking and indexing

Implement retrieval strategies balancing relevance and diversity

Use prompt engineering to incorporate retrieved context

Set up evaluation metrics and monitoring

Implement feedback loops for continuous improvement

FAQ

Frequently asked questions

RAG systems retrieve relevant documents and use them as context for language models. This provides factual, up-to-date information and reduces hallucinations compared to models relying only on training data.

We can use PDFs, Word documents, Markdown files, web pages, and other text formats. We parse and chunk documents appropriately, and can handle structured data like databases or APIs.

We evaluate RAG systems using metrics like retrieval accuracy, answer relevance, and user feedback. We test with sample queries, monitor response quality, and iterate based on results.

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 to scope this properly?

Need RAG implementation services? Share your docs and workflows and we’ll propose next steps and milestones. AUD-based engagements.

Reply within 2 hours. No-pressure consultation.