The challenge
Where teams get stuck
The problems we're most often brought in to solve.
- 01
Knowledge buried across repositories
Answers exist somewhere in shared drives, wikis and PDFs, but teams spend too long locating them.
- 02
Answers without provenance
Users cannot verify an AI answer because it does not show which document it came from.
- 03
Permission boundaries at risk
A shared assistant could expose documents to people who are not entitled to see them.
Overview
Enterprise Knowledge & Retrieval (RAG) at VulcanTech
Retrieval-augmented generation (RAG) is an approach in which an AI assistant retrieves relevant passages from an organisation's own content and answers from them, citing its sources. VulcanTech engineers RAG systems that let employees and customers query policies, manuals, contracts, tickets and databases in natural language. Access controls ensure users see only the content they are entitled to, and continuous evaluation tracks answer accuracy over time.
Key deliverables
- Content audit and ingestion plan
- Vector index and retrieval pipeline
- Assistant interface or API
- Evaluation set and accuracy report
- Administration and re-indexing tools
What you get
What Enterprise Knowledge & Retrieval (RAG) includes
Content ingestion pipelines
Connectors for SharePoint, Google Drive, Confluence, PDFs and databases, with scheduled re-indexing.
Hybrid search and reranking
Vector and keyword search combined with reranking to retrieve the most relevant passages.
Cited answers
Every answer links to the source passages used, so users can verify before acting.
Permission-aware retrieval
Document-level access rules from your source systems enforced on every query.
Answer quality evaluation
Benchmark questions with expected answers measure retrieval and response accuracy on every change.
Closed-loop feedback
User ratings and flagged answers drive content corrections and retrieval tuning.
More in Generative AI & LLM Engineering
Related services
- Foundation Model Integration & Fine-TuningFoundation models embedded in your products and operations, adapted to your domain where the evidence supports it.Learn more
- Conversational AI & CopilotsCustomer-facing assistants and in-product copilots that resolve requests accurately and escalate with context.Learn more
Our process
How we deliver
A delivery process you can see into — from first workshop to production support.
- 01
Discovery
A focused working session on your objectives, constraints and existing systems. It concludes with a scoped proposal and a clear view of value, risk and effort.
- 02
Architecture & planning
We agree the target architecture, data model and integration approach before product code is written, and secure your sign-off.
- 03
Iterative delivery
Working software reaches a staging environment on a regular cadence, giving stakeholders continuous visibility and the ability to steer priorities.
- 04
Assurance & hardening
Automated testing, accessibility and performance budgets, and a security review are completed before anything reaches production.
- 05
Launch & continuity
We manage cutover and remain engaged through an agreed support period, with a structured handover to your teams or ongoing operation by ours.
Engagement models
Work with us the way that suits you
Outcome-based delivery
A defined scope, timeline and commercial model agreed after discovery. We own delivery risk against the agreed outcomes.
Best for: Well-defined initiatives, MVPs and first releases
Dedicated product teams
A cross-functional pod — engineering, design, QA and delivery leadership — aligned to your roadmap and scaled as priorities change.
Best for: Long-term product development and evolving roadmaps
Team extension
Senior engineers embed in your organisation, work inside your processes and report to your leaders — on contracts that assign all IP to you.
Best for: Adding specialist capability without growing headcount
Tools & technologies
The stack we build with
- LlamaIndex
- LangChain
- pgvector
- Elasticsearch
- Qdrant
- OpenAI API
- Claude API
- Python
Why VulcanTech
A partner, not a vendor
Senior engineering, honest delivery, and work we can name.
Senior engineers own delivery
The engineers who scope your programme in discovery are the engineers who deliver it. There is no hand-off to a junior bench after contract signature.
Engagement models that fit
Outcome-based delivery, dedicated product teams, team extension or global capability centres, matched to how your organisation prefers to work.
A verifiable track record
Every customer story we publish describes real production work, naming the client wherever confidentiality allows, including public-sector platforms secured through competitive tenders.
80+ projects in 16 countries
Delivered since 2021 across the public sector, real estate, healthcare, manufacturing and consumer technology, for regulated and high-growth organisations alike.
Customer stories
Proven delivery
Real Estate & Construction · United Arab EmiratesMaak Dream Developers runs sales, inventory and delivery on one governed platformMaak Dream DevelopersRead the story 
Public tenderPublic Sector & Government · PakistanPunjab's environment department gives citizens live, forecast-led air-quality intelligenceEPCCD, Government of the PunjabRead the story 
Manufacturing & Industrial · PakistanSiddique Sons Engineering moves HR and payroll onto a single system of recordSiddique Sons Engineering (Pvt) LtdRead the story
FAQ
Frequently asked questions
Can't find what you need? Ask us in the discovery session.
Free discovery session
Start your Enterprise Knowledge & Retrieval (RAG) project
Tell us what you're building. You'll hear back from an engineer, not an inbox.
- 1We reply within one business day to set up a 30-minute call.
- 2A senior engineer — not a salesperson — walks through your problem.
- 3You get a scoped proposal with timeline and cost. No obligation.
New projects & sales
[email protected]Existing clients & support
[email protected]