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 (Canada)

For Canadian teams, we focus on practical privacy and security: least-privilege access, clear boundaries, and reviewable operational controls.

We can align implementation with SOC 2 / ISO-friendly practices (without claiming certification) and support documented data flows.

  • SOC 2 / ISO-friendly patterns (no certification claims)
  • Least-privilege access and secure session handling
  • Retention/deletion and export flows where required
  • PII-safe logging + access boundary documentation
  • NDA and vendor onboarding docs on request

Timezone & Collaboration (North America)

We work with Canadian teams with North America overlap and meeting windows that fit your schedule.

Delivery stays predictable via weekly milestones, async updates, and clearly documented decisions.

  • North America overlap and responsive communication
  • Async-first updates with written scope decisions
  • Weekly milestone demos and progress checkpoints
  • Clear escalation path for blockers
  • Tight change control with clear sign-offs

Engagement & Procurement (Canada)

We support procurement-friendly delivery: clear scope, change control, and billing cadence aligned to milestones when appropriate.

We can invoice in CAD for CAD-based engagements where required.

  • CAD-based engagements and invoicing options
  • Milestone-based billing and scope sign-offs
  • Time-and-materials for evolving requirements
  • Vendor onboarding pack on request
  • Optional paid discovery to de-risk delivery

Security & Quality (North America)

We keep quality visible: clean PRs, reviewable changes, and test coverage that matches the risk of each feature.

Performance budgets and release discipline help maintain stability as the product scales.

  • CI-friendly testing: unit + integration + smoke tests
  • Performance budgets + bundle checks
  • Structured release notes + rollback-safe deployments
  • Security checklist for auth, roles, and 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. CAD-based engagements.

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