AI Development

RAG System Development

Work with a RAG application development company UK teams can collaborate with during UK working hours (GMT/BST). We design ingestion, hybrid search, and guardrails so answers stay grounded and traceable.

Timeline6-12 weeks
Starting at$700

Benefits

What you get

RAG implementation services for PDFs, docs, tickets, and wikis

RAG development services: ingestion, indexing, and continuous tuning

Chunking + metadata strategy for high-quality retrieval

Vector database setup (Pinecone, Weaviate, Chroma, pgvector)

Hybrid search + reranking for stronger accuracy

Citations and highlighted excerpts in answers

Monitoring, evals, and regression testing over time

Features

What we deliver

Ingestion & Normalization

Parse PDFs, Word, Markdown, web pages, and knowledge tools. Keep structure where it matters (headings, sections, tables) and add clean metadata.

Chunking & Metadata Design

Right-sized chunks, smart overlap, and reliable metadata (product, version, date, owner) so retrieval stays accurate and maintainable.

Embeddings & Indexing

Use OpenAI, Cohere, or open-source embeddings depending on cost, privacy, and language needs. Support scheduled re-indexing and incremental updates.

Hybrid Search + Reranking

Combine semantic + keyword search and rerank results for stronger precision—especially for product names, error codes, and exact phrases.

Grounded Answers + Citations

Answers include citations and highlighted excerpts. If sources are weak, the system can ask follow-ups or respond with a safe fallback.

Quality, Safety & Observability

Evaluation sets, failure tracking, prompt/version control, and metrics (retrieval hit rate, citation quality) so performance improves over time.

Process

How we work

1
1-2 weeks

Discovery

Requirements gathering and planning

2
2-3 weeks

Design

UI/UX design and prototyping

3
6-12 weeks

Development

Iterative sprints with demos

4
1-2 weeks

Launch

Deployment and support

Tech Stack

Technologies we use

Core

OpenAI (GPT family)Anthropic ClaudeRAGLangChain / SDK-first

Tools

PineconeWeaviateChromapgvector (Postgres)

Services

Next.jsPython / FastAPINode.js

Use Cases

Who this is for

Internal Knowledge Assistant

Search SOPs, policies, onboarding docs, and runbooks with citations and permission-aware access.

Support Deflection (Grounded)

Answer product questions from your docs and help-center content, with escalation paths when confidence is low.

Document & Research Workflows

Summaries, Q&A, and comparisons across large document collections (legal, technical, compliance) with traceability.

Search Upgrade

Turn keyword search into “answer + sources” experiences while still supporting classic search results when needed.

FAQ

Frequently asked questions

No system can guarantee zero errors. RAG reduces hallucinations by grounding answers in retrieved sources, adding citations/excerpts, and using safe fallbacks when evidence is weak.

PDFs, Word/Google Docs, Markdown, websites, help centers, databases, and tools like Notion/Confluence/Drive. We choose connectors based on your stack and access controls.

We add evaluation queries, track bad answers, tune chunking/metadata, improve prompts, and introduce reranking or hybrid search where needed. It’s an iterative loop, not a one-time setup.

Yes. We can implement per-user access rules, tenant isolation, and source-level permissions. The final approach depends on your identity system and where documents live.

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Regional

Delivery considerations for your region

Compliance & Data (UK/EU)

For UK teams, we default to GDPR-first thinking: data minimisation, purpose-limited storage, and clear access boundaries.

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

  • GDPR-first patterns (minimise, restrict, document)
  • DPA template available on request
  • Retention/deletion and export flows where required
  • Least-privilege access and secure session handling
  • PII-safe logging + secure-by-default configuration
  • NDA available for early-stage discussions

Timezone & Collaboration (UK/EU)

We align to UK time and EU overlap (GMT/BST with CET-friendly windows) for fast feedback cycles.

We keep the process lightweight: async updates, clear priorities, and written decisions to avoid ambiguity.

  • UK/EU overlap with GMT/BST windows
  • Async-first delivery with documented scope
  • Weekly milestones and structured demos
  • Clear escalation path for blockers
  • Tight change control with clear sign-offs

Engagement & Procurement (UK)

We support typical UK procurement flows with clear scopes, change control, and invoice cadence.

If you prefer a discovery-first engagement, we can run a short paid discovery to lock requirements before build.

  • GBP-based engagements and invoicing options
  • Discovery-first option to reduce delivery risk
  • Milestone-based billing when appropriate
  • Transparent change control and sign-offs
  • Vendor onboarding pack on request

Security & Quality (UK/EU)

We build for reliability and maintainability: clean PRs, tight review loops, and test coverage that matches risk.

Performance budgets and release checklists keep launches predictable—especially when multiple stakeholders review changes.

  • CI-friendly testing: unit + integration + smoke tests
  • Performance budgets + bundle checks (Core Web Vitals-minded)
  • Structured release notes and rollback-safe deployments
  • Security checklist for auth, roles, and data flows
  • Observability hooks (logs + error tracking) ready for production
Ready to start?

Want help with RAG system development?

Share your sources and access rules—we’ll outline a production-ready RAG plan with milestones, evaluation criteria, and GBP-based delivery.

Reply within 2 hours. No-pressure consultation.

    RAG Development Company UK | Softment | Softment