AI Engineering
LLM integration and RAG development grounded in your own data.
We connect large language models to your documents, databases and systems so they give accurate, sourced answers, respect who can see what, and work behind your own secure APIs.
- ISO 9001 certified
- NDA on request
- You own the code
- IngestDocuments, databases and tickets are cleaned and chunked Step 1
- IndexEmbeddings and search over your content Step 2
- RetrievePermission-aware search for each request Step 3
- GatewayOne internal API routing to approved models, with logging… Step 4
- RespondStructured, cited output to your product Step 5
Trusted by 100+ clients in 25 countries
In short
What is LLM integration?
LLM integration connects a large language model such as GPT, Claude or Gemini to your own documents, databases and systems. Using retrieval-augmented generation (RAG), the model answers from your information with sources, respects user permissions and runs behind your own secure gateway, so you can change models later.
- Capability
- AI Engineering
- Best for
- FinTech, Healthcare, Legal and professional services
- Ways to work
- Fixed scope, dedicated team or time and materials
- Typical tools
- OpenAI, Anthropic, LangChain, Hugging Face
What we offer
Our LLM integration & RAG services.
Take the complete service, or just the parts you need. Every engagement is shaped around your goals, your users and your budget.
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Strategy
LLM consulting and model selection
We compare models from OpenAI, Anthropic, Google and open-source providers on accuracy, cost, speed and data rules, and recommend the right fit for each use case.
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Retrieval
RAG pipeline development
Your documents, help centre and databases prepared, indexed and searched so the model answers from your information, with sources.
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Search
Enterprise knowledge search
One place for staff to ask questions across policies, manuals, contracts and wikis, with answers that point to the original document.
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Platform
Private LLM gateways
A secure layer between your apps and AI providers with authentication, usage limits, logging and the freedom to switch models.
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Security
Permission-aware answers
Answers follow the same access rules as your systems, so people only see information they are allowed to see.
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Models
Fine-tuning and custom models
Where it helps, models adapted to your terminology, formats or tasks, including open-source models hosted in your cloud.
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Integration
LLM features in your product
Chat, search, summarisation and Q&A built into your SaaS platform, portal or mobile app.
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Quality
Accuracy testing and monitoring
Evaluation sets of real questions, accuracy reports before every release, and monitoring once live.
Why clients trust us
Real products, real businesses, since 2018.
From startups launching their first app to ministries and global brands, businesses in 25 countries rely on Appsums to build, run and grow their software.
- 15+
- years in IT
- 8+
- years as Appsums
- 100+
- clients
- 25
- countries
Why Appsums
Why choose Appsums for LLM integration & RAG?
An engineering partner you can hold to account, with the experience, processes and people to deliver.
Accurate answers with sources
Every answer is grounded in your content and can show where it came from.
No vendor lock-in
Our gateway approach lets you change models as prices and quality change.
Security built in
Permissions, encryption and audit logs from day one.
Data residency options
Hosting and providers chosen to meet your regional and regulatory needs.
Measured quality
Real-question test sets tell you how accurate the system is before launch.
Built to scale
Architecture that handles growing users, documents and traffic.
How we work
How we deliver LLM integration & RAG.
Six clear stages from first call to a product that keeps improving. You always know what is happening, what comes next and what it costs.
- Weekly demosSee real progress, not status reports
- One accountable leadA single person who owns delivery
- Written milestonesScope and budget agreed up front
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Stage 1 of 6
Discovery and AI mapping
- Find the tasks where AI saves the most time
- Agree goals and success measures
- Check risks and what AI must not do
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Stage 2 of 6
Data and systems review
- Review data quality and access
- Map the systems AI must connect to
- Plan security and data residency
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Stage 3 of 6
Design and planning
- Choose models and architecture
- Design guardrails and approvals
- Agree scope, timeline and budget
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Stage 4 of 6
Build and integrate
- Build the AI feature or agent
- Connect it to your tools and data
- Weekly demos on real examples
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Stage 5 of 6
Test and launch
- Score accuracy on real cases
- Safety and permission checks
- Phased roll-out to users
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Stage 6 of 6
Monitor and improve
- Track accuracy, cost and usage
- Alerts for anything unusual
- Regular improvements each month
Hire experts
Hire LLM integration & RAG experts.
Add the right people to your project, full-time or part-time, working your hours and inside your tools.
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LLM engineers
Specialists in model selection, prompting and retrieval quality.
- RAG pipelines
- Prompt design
- Model evaluation
- Cost tuning
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Data engineers
Engineers who prepare, clean and index your documents and data.
- Data pipelines
- Document parsing
- Vector search
- Sync jobs
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Backend developers
Developers who build the APIs, gateway and integrations.
- API gateway
- Authentication
- Logging
- Integrations
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MLOps engineers
Engineers who host, monitor and scale models in your cloud.
- Model hosting
- Monitoring
- Scaling
- Security
Our work
Products we have built and launched.
A few of the platforms where LLM integration & RAG was part of what we delivered. All work
Client voice
What our clients say.
In their own words, from the founders and leaders we build for. All reviews
- 5.0 Clutch · 10 reviews Checked 28 October 2026
- 4.9 GoodFirms · 12 reviews Checked 28 October 2026
- 5.0 The Manifest · 9 reviews Checked 27 October 2026
Long-term partnerships
Work such as Thara Profintech's investment platform in Kuwait continues as an ongoing engineering partnership, release after release.
Clients across regions
Delivery for clients in the GCC, Africa, Asia, Europe and North America.
References on request
During evaluation we arrange conversations with clients in similar sectors.
Industries
LLM integration & RAG across industries.
We know the rules, users and systems of the industries we work in, so you spend less time explaining and more time launching.
LLM integration & RAG for
FinTech
Policy and product Q&A for staff, and customer answers that follow regulatory wording.
Explore FinTechLLM integration & RAG for
Healthcare
Clinical guideline search and patient information assistants with strict access control.
Explore HealthcareLLM integration & RAG for
Legal and professional services
Clause search, contract Q&A and precedent lookup across thousands of files.
Explore Legal and professional servicesLLM integration & RAG for
Manufacturing
Manuals, safety procedures and maintenance history searchable by engineers on site.
Explore ManufacturingLLM integration & RAG for
SaaS and technology
In-product AI search and support answers for your customers.
Explore SaaS and technologyLLM integration & RAG for
Government and enterprise
Secure internal knowledge assistants that respect data residency.
Explore Government and enterpriseTechnologies
The technology we build with.
Popular, proven tools that are easy to grow and easy to hire for, so your product is never locked in to us.
Most used for LLM integration & RAG:
Web and mobile
- React
- Next.js
- Angular
- Vue.js
- TypeScript
- JavaScript
- Tailwind CSS
- Flutter
- Dart
- Swift
- Kotlin
- Jetpack Compose
- Android
- iOS
- Ionic
- Figma
Backend and data
- Node.js
- Express
- NestJS
- Python
- Django
- FastAPI
- PHP
- Laravel
- .NET
- Spring
- GraphQL
- Socket.IO
- MongoDB
- PostgreSQL
- MySQL
- MariaDB
- Redis
- Elasticsearch
- Firebase
- Supabase
- Prisma
Cloud and DevOps
- AWS
- Google Cloud
- DigitalOcean
- Docker
- Kubernetes
- Terraform
- GitHub Actions
- Jenkins
- Nginx
- Grafana
- RabbitMQ
- Kafka
- Jest
- Cypress
- Selenium
- Postman
- Jira
AI and integrations
- OpenAI
- Anthropic
- Gemini
- Llama (Meta)
- LangChain
- Hugging Face
- PyTorch
- TensorFlow
- Ollama
- NumPy
- Pandas
- scikit-learn
- Stripe
- PayPal
- Twilio
- WhatsApp Business
- Google Maps
- Shopify
- WordPress
Security and trust
Security, privacy and IP built into how we work.
Security by design
- Secure architecture and code reviews
- Encryption in transit and at rest
- Vulnerability checks before release
- Dependencies kept up to date
Data protection
- Least-privilege, role-based access
- Separate test and live environments
- Hosting in the region you choose
- Credentials handed back at the end
Contracts and IP
- NDA signed before detailed talks
- You own all code, designs and data
- Clear scope and statements of work
- Confidentiality for every team member
Quality and governance
- ISO 9001 certified quality management
- Documented, audited processes
- Progress and risk reports every sprint
- Release checklists and sign-off
ISO 9001 certified. Quality you can rely on.
Our quality management system is independently certified, so every project follows documented, audited processes from kick-off to support.
Want a head start?
Start from a ready-made solution.
Launch sooner by building on one of our proven solutions, branded as yours and shaped to your market. All solutions
- AI Chatbot Development Chatbots grounded in your content, with human handover and analytics. See the solution
- Generative AI Apps Generative AI features and apps with brand rules, safety and cost controls. See the solution
- CRM Software Leads, deals, accounts and tickets with configurable pipelines, automations and reports. See the solution
Explore more
Explore our full range of services.
Most clients start with one service and add others as they grow. The same team keeps the context.
FAQs
Frequently asked questions.
Anything else about LLM integration & RAG? Ask us directly. A real engineer reads every message.
What is RAG?
Retrieval-augmented generation. The system first finds the most relevant parts of your documents, then the model writes an answer using only that information.
Why not just use ChatGPT?
Public chat tools do not know your private data or permissions. Integration gives accurate, sourced answers inside your own secure systems.
Can data stay in our country or region?
Yes. We can host data and choose providers that meet your residency rules.
What happens when our documents change?
New and updated content is picked up automatically, so answers stay current.
Can we change AI models later?
Yes. The gateway we build lets you switch models without rebuilding your product.
How do you measure accuracy?
We build a test set of real questions with correct answers and score every release against it.






























