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 (US)

For US teams, we build with auditability in mind: clear access boundaries, least-privilege roles, and reviewable operational controls.

We can align delivery with SOC 2 / ISO-friendly practices (without claiming certification): evidence-ready logs, secure-by-default config, and clear ownership.

  • SOC 2 / ISO-friendly implementation patterns (no certification claims)
  • Least-privilege access and permission boundaries
  • Security review checklists for auth, payments, and data flows
  • PII-safe logging + incident response playbooks (on request)
  • Retention and deletion flows where required
  • NDA + vendor onboarding docs on request

Timezone & Collaboration (Americas)

We support teams across the Americas with meeting windows that work for EST/CST/MST/PST.

We keep delivery predictable with weekly milestones, concise async updates, and written decisions to reduce calendar load.

  • Americas overlap with EST/PST-friendly windows
  • Async-first updates with written decisions
  • Weekly milestone demos + change control
  • Fast turnaround on blockers and clarifications
  • Clear owner per workstream and escalation path

Engagement & Procurement (US)

US-friendly engagement structure: clear SOWs, milestone billing, and invoice cadence that fits typical procurement workflows.

If you need vendor onboarding artefacts, we can provide security posture summaries and delivery process documentation.

  • USD invoicing and milestone-based payment schedules
  • SOW + scope lock options for fixed-scope work
  • Time-and-materials for evolving requirements
  • Procurement-ready documentation on request
  • Optional paid discovery to de-risk delivery

Security & Quality (US)

We ship with a security-first checklist and performance budgets—so releases stay stable under real traffic.

Expect clean PRs, reviewable changes, and production-ready testing from day one.

  • Threat-aware checks for auth, roles, and sensitive data flows
  • CI-friendly testing: unit + integration + critical path smoke tests
  • Performance budgets (Core Web Vitals-minded) and bundle checks
  • Structured logging + error tracking hooks (Sentry-ready)
  • Rollback-safe releases and clear release notes
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. USD-based engagements.

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