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 (EU)

For Germany/EU delivery, we keep GDPR-first patterns: data minimisation, purpose-limited storage, and explicit access boundaries.

We can work under a DPA (template available on request) and implement pragmatic retention/deletion flows when needed.

  • GDPR-first architecture patterns (generic, no legal claims)
  • DPA template available on request
  • Retention/deletion and export flows where required
  • Least-privilege access and safe logging defaults
  • Documented data flows and access boundaries

Timezone & Collaboration (EU)

We align to EU working hours with CET-friendly collaboration windows and async progress updates.

We keep delivery predictable: weekly milestones, documented decisions, and clear scope control.

  • EU overlap with CET-friendly windows
  • Async-first delivery with written decisions
  • Weekly milestone demos and progress checkpoints
  • Clear change control to avoid surprises
  • Escalation path for blockers and risks

Engagement & Procurement (EU)

We support procurement-friendly engagements with clear scopes, milestone plans, and documentation that stakeholders can review.

For EU teams, we can structure invoices and milestones for EUR-based engagements where appropriate.

  • EUR-based engagements and invoicing options
  • Discovery-first option to reduce delivery risk
  • Milestone-based billing and scope sign-offs
  • Vendor onboarding documentation on request
  • Transparent change control and approvals

Security & Quality (EU)

We prioritise reliability: reviewable PRs, predictable releases, and tests that protect critical paths.

Performance budgets and clear release discipline keep the product stable as it grows.

  • CI-friendly testing: unit + integration + smoke tests
  • Performance budgets + bundle checks
  • Release checklist + rollback-safe deployments
  • 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. EUR-based engagements.

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