AI Development
RAG Knowledge Base Solutions
We build retrieval-augmented generation (RAG) systems that use your documents as the source of truth—so assistants answer accurately, cite context, and stay safer in production.
Overview
What this service is
This service builds a RAG pipeline: document ingestion, chunking, embeddings, and retrieval strategy aligned to your content and user queries.
We tune retrieval quality and response behaviour so answers stay grounded, include relevant context, and fail gracefully when the content doesn’t contain an answer.
Delivery includes evaluation hooks and update guidance so your team can keep the knowledge base current without breaking retrieval quality.
Benefits
What you get
More accurate answers
Ground responses in approved content to reduce hallucinations and improve trust.
Faster support and onboarding
Teams and customers find answers quickly without waiting for human availability.
Control what the assistant knows
Use your docs and rules as the source of truth, not generic internet knowledge.
Maintainable updates
Ingestion and indexing workflows designed for ongoing content changes.
Permission-aware patterns (optional)
Scope access rules so sensitive docs aren’t exposed to the wrong users.
Measurable quality improvements
Evaluation and feedback hooks so accuracy gets better over time.
Features
What we deliver
Document ingestion pipeline
Import PDFs, docs, web pages, and structured content with normalisation and metadata.
Chunking + embeddings strategy
Chunk sizing and embedding configuration tuned to your content types and query patterns.
Retrieval tuning
Ranking, filters, and guardrails that improve relevance and reduce noisy context.
Grounded response behaviour
Answer formatting, citations/context, and fallback behaviour when retrieval is weak.
Evaluation + feedback hooks
Quality checks and feedback capture so you can improve retrieval and answers iteratively.
Deployment + update guidance
Runbook-style notes for adding new sources, reindexing, and monitoring retrieval health.
Process
How we work
Discovery
We define user queries, content sources, and quality expectations to shape the RAG design.
Ingestion setup
We implement parsing, chunking, and metadata rules so content is indexed consistently.
Retrieval tuning
We tune relevance and filters, then validate answers against a set of representative questions.
Integration
We expose the pipeline via API/UI and add feedback hooks for quality iteration.
Handoff
We deliver documentation for updates, reindexing, and monitoring retrieval quality over time.
Tech Stack
Technologies we use
Core
Tools
Services
Use Cases
Who this is for
Internal SOP and policy assistant
Answer questions from internal docs with permission-aware retrieval for different teams.
Customer help centre assistant
Grounded answers that match your official docs and reduce support ticket volume.
Sales enablement search
Help teams find product details, pricing rules, and approved collateral quickly.
Technical documentation assistant
Answer developer questions with context from API docs, guides, and changelogs.
Compliance and audit support
Find policy text and evidence faster with traceable context from approved sources.
FAQ
Frequently asked questions
Yes. We can include retrieved context and citations/links so users can verify answers and build trust.
Yes. Common formats like PDF, Markdown, HTML, and exported docs can be handled. We’ll confirm your formats during discovery.
We build ingestion and reindexing workflows with clear guidance so new documents can be added safely without breaking retrieval quality.
Yes. We can scope retrieval by user roles or access groups so sensitive sources aren’t visible to the wrong users.
Often, yes—especially when your content changes frequently. We’ll recommend the best approach based on update cadence and accuracy needs.
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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
Need answers grounded in your documents?
Share sample docs and the assistant’s goals. We’ll design a RAG pipeline and rollout plan that fits your users and constraints.
Indexing + tuning + handoff included.