Custom RAG Development Services
Turn your business data into trusted, actionable answers.
For businesses of all sizes—from innovative startups to established companies—we build custom RAG applications that eliminate AI hallucinations, provide up-to-the-minute answers, and deliver a true competitive advantage.
Specialized in RAG solutions
Across industries
Supported by our AI systems
Software Development Expertise
Trusted AI partner with proven expertise in building production-ready Retrieval-Augmented Generation (RAG) solutions. With 19+ years of software development experience and deep AI knowledge, SDH helps startups, SMBs, and enterprises design, build, and scale AI solutions powered by RAG technology.
How Our RAG Solutions Address Critical Business Challenges
Unlock Insights from Your Unstructured Data
The Problem: Over 80% of your enterprise data is "unstructured"—locked away in PDFs, documents, emails, and call transcripts. Standard analytics tools cannot process it, leaving valuable insights completely untapped.
Our Solution: We engineer and deploy custom data pipelines that ingest, parse, and index your unstructured data sources (PDFs, docs, emails). Our process transforms these scattered documents into a structured, queryable knowledge asset, unlocking the valuable business insights currently hidden within them.
Automate Support and Reduce Operational Costs
The Problem: Scaling your customer support or internal helpdesk teams is expensive and inefficient. Repetitive queries consume your agents' time, preventing them from focusing on high-value issues.
Our Solution: We build and integrate a custom AI assistant, powered by RAG, directly into your workflow. By handling up to 70% of routine inquiries with verifiable accuracy, this solution delivers a direct, measurable reduction in your operational costs and frees up your expert teams for high-value tasks.
Build a System That Eliminates Costly AI Errors
The Problem: Off-the-shelf LLMs "hallucinate" and provide unreliable answers, creating significant business risks.
Our Solution: Our development process focuses on grounding the AI exclusively in your verified, proprietary data. We implement strict retrieval protocols to eliminate hallucinations and ensure the system we deliver provides fact-based, trustworthy answers that your business can rely on for critical decisions.
Create a Solution With Real-Time Knowledge
The Problem: Your data is dynamic, but generic AI models are static and quickly become outdated.
Our Solution: We architect and implement RAG systems with live data synchronization capabilities. By connecting directly to your dynamic sources (databases, APIs, CRMs), the solution we build ensures that every answer is generated using the most current information, providing a real-time operational advantage.
Engineer a Unified Knowledge Hub to Boost Productivity
The Problem: Critical information is fragmented across different systems, forcing employees to waste hours on manual searches.
Our Solution: We design and construct a centralized intelligence platform that unifies your disparate knowledge silos. This provides your teams with a single, authoritative source of truth, eliminating hours of manual search and delivering a significant, measurable boost to company-wide productivity.
Develop a Transparent and Compliant AI
The Problem: "Black box" AI systems create compliance and auditability nightmares, especially in regulated industries.
Our Solution: We build transparency directly into the architecture of your RAG solution. Every generated answer is programmatically linked to its source document, providing a clear, verifiable audit trail. This design ensures your system meets strict internal governance and external compliance standards.
* Below you can see our latest case study on how we effectively solved the problem of one of our clients.
Use Cases: RAG in Real Applications
See how Retrieval-Augmented Generation (RAG) transforms industries by grounding AI in trusted data. Each tab highlights practical cases and measurable value.
Healthcare: Smarter Clinical Support
Doctors are overloaded with codes, protocols, and research. Generic AI often misleads. RAG grounds answers in validated sources, delivering quick, reliable guidance.
It integrates EHRs, hospital protocols, and trusted guidelines (CDC, WHO, NICE). Queries return precise, cited passages—hours of search reduced to seconds.
Typical Outcomes
- Clinical decisions up to 40% faster
- Lower misdiagnosis risk with sources
- Improved HIPAA compliance
- Faster onboarding for junior doctors
Source-backed answers build trust with staff and patients. Pilots often start in one department, then scale hospital-wide.
Finance: Compliance & Advisory Copilot
Financial teams need precision. RAG grounds every answer in regulated documents, avoiding vague or unverified outputs.
It merges internal data—reports, manuals, logs—with external rules like SEC , MiFID II , central bank docs. Queries return ranked, cited insights by jurisdiction and recency.
Example: “Does this note meet MiFID II suitability?” → copilot checks policies, regulations, and outputs a clear verdict with citations.
Typical Outcomes
- Compliance reports in 40–60% less time
- Audits prepped in days, not weeks
- Fewer breaches via transparent answers
- Faster advisory with real-time data
Sensitive data is masked, access is role-based, and every interaction is logged for audits. Pilots often start with wealth management, then expand.
E-commerce: Smarter Search & CX
Online retailers compete on speed and trust. Traditional search and chatbots fail on nuanced queries. RAG connects models to structured commerce data.
It consolidates catalogs, reviews, and FAQs into a vector index. Queries like “waterproof jacket under $150” return exact matches with live stock and shipping info.
Typical Outcomes
- Conversion up by 15–25%
- Support times cut 40–60%
- Lower call center costs
- Fewer abandoned carts
Customer data is masked, GDPR enforced, and every query logged. Pilots start with one category, then scale across catalog and systems.
Legal: Research & Contract Intelligence
Lawyers need accuracy under pressure. Manual review is slow, while generic AI risks errors. RAG grounds responses in authoritative legal sources.
It ingests statutes, case law, contracts, and policies with metadata. Queries like “non-compete enforceable in California?” return cited rulings and summaries.
Typical Outcomes
- Research time cut by 50–70%
- More consistent contract reviews
- Faster onboarding of junior lawyers
- Greater client trust via citations
Docs stay in a secure index, access is role-based, and every query logged. Rollouts often begin with one practice area, then expand.
SaaS & Tech: Intelligent Platforms
SaaS firms compete on speed and service. Traditional support tools lack context. RAG embeds live product knowledge into platforms.
It unifies release notes, docs, guides, and tickets. Queries like “enable SSO with Okta v12.3?” return exact setup steps with citations.
Typical Outcomes
- Support workload cut by 30–50%
- Faster onboarding with AI guidance
- Higher satisfaction via contextual answers
- PMs gain insights from feedback
Data is masked, access scoped, and answers cited. Pilots usually start with one module, then scale across the SaaS suite.
Education & Research: Accelerated Learning
Students and researchers face overwhelming resources. Traditional search is noisy, AI assistants may hallucinate. RAG grounds answers in curated academic data.
It integrates textbooks, notes, papers, and trusted databases ( PubMed , arXiv , archives). Queries return precise, cited explanations.
Typical Outcomes
- Research prep time cut 40–60%
- Reports improved with references
- Higher engagement via contextual Q&A
- Faculty save time on repetitive queries
Privacy is preserved: student data masked, responses cited, and logs kept. Pilots start with one faculty, then expand institution-wide.
Flexible collaboration models
We offer flexible business models to ensure a transparent and effective partnership, tailored to your project's needs.
Fixed Price
A predictable budget for projects with a clearly defined scope, like a PoC.
Time & Materials
Maximum flexibility for complex and evolving projects, ensuring agility.
Dedicated Team
Embedded experts working as your extended team for long-term projects.
Flexibility is at the core of our model. Whether you need a brand-new AI application built from scratch or want to empower your existing platform with a powerful RAG engine, we deliver solutions tailored to your specific goals.
Innovation-driven entrepreneur
The Future of AI: Grounding Models in Real Knowledge
Large language models are powerful, but without access to the right data they often provide incomplete or misleading answers. Retrieval-Augmented Generation changes this dynamic. By combining search with generation, RAG ensures that AI delivers responses that are accurate, explainable, and aligned with your business reality. This is not just an upgrade — it’s the foundation for trustworthy, enterprise-ready AI solutions.
Service Tiers
We offer multi-level engagement scopes to match your specific goals—from foundational engine development to full-cycle application delivery and strategic integration.
RAG Engine Development
For clients who need to validate RAG's potential with their own data. We build a powerful, scalable core engine that serves as the foundation for future, full-scale applications.
Full-Cycle RAG Application
Building a complete, production-grade application from the ground up. We handle everything from the core engine to a polished UI, fully integrated into your workflow.
Strategic System Integration
For businesses aiming to enhance existing enterprise systems (CRMs, Knowledge Bases) with advanced AI. We analyze your workflow and strategically integrate a RAG solution to solve high-value challenges.
How We Work: RAG Development Process
Our proven RAG development process ensures reliable, scalable, and future-ready AI solutions — from strategy to long-term support.
Strategy & Consultation
We start with an in-depth business and data assessment to align RAG implementation with your goals.
Outcome: A clear roadmap tailored to your objectives and available data.
Data Preparation
Extraction, cleaning, parsing, and embedding generation for structured and unstructured data.
Outcome: High-quality datasets ready for semantic search and retrieval.
Retrieval System Development
We design and optimize retrieval algorithms for relevance, speed, and scalability.
Outcome: A retrieval layer that guarantees accurate and context-aware responses.
Vector Database Setup
Deployment and optimization of vector search infrastructure (FAISS, Pinecone, Weaviate, etc.).
Outcome: Scalable, high-performance search foundation.
LLM Integration & Prompt Engineering
Connecting your system to leading LLMs and refining prompts for context-rich responses.
Outcome: A seamless bridge between your data and generative AI.
Application Development
Design and development of chatbots, assistants, dashboards, and user interfaces.
Outcome: Intuitive applications that bring RAG to end-users.
System Integration
Connecting RAG solutions with CRM, ERP, APIs, and cloud infrastructure securely.
Outcome: RAG embedded smoothly into your existing ecosystem.
Testing, Deployment & Monitoring
Comprehensive QA, load testing, and continuous monitoring to ensure production stability.
Outcome: Reliable production system with ongoing performance tracking.
Knowledge Transfer & Support
Full documentation, team training, and continuous support for scaling and innovation.
Outcome: Empowered teams capable of maintaining and evolving the system.
Expert solutions for complex challenges
In today’s rapidly changing tech landscape, you need more than a vendor — you need a partner who understands your vision.
At SDH, we don’t just build solutions; we build long-term partnerships that empower your business to grow and innovate.
Cutting-Edge Technologies We Use for RAG Solutions
With 19+ years of software engineering and deep AI expertise, we use the most advanced technologies to design secure, scalable, and production-ready RAG solutions — from model orchestration to monitoring and compliance.
AI Models
Vector Databases
Frameworks & Orchestration
Cloud & Infrastructure
Monitoring & MLOps
Security & Compliance
Why RAG Is a Critical Business Advantage
RAG is not just a technology; it's a business strategy that reduces AI costs, keeps data private, and delivers accurate, source-backed answers you can trust.
LLM apps without RAG:
AI trained data + no updates = hallucinations & outdated answers
Traditional LLMs generate plausible but often incorrect responses because they lack access to your current, proprietary business data.
LLM apps with RAG:
LLM + real-time retrieval = accurate, contextual, reliable
RAG systems ground the LLM in your verified knowledge, reducing errors and unlocking insights your team can act on with confidence.
Cost Optimization
Reduce API expenses by using your own indexed data, paying LLM providers only for unique generation tasks.
Fresh & Relevant Knowledge
Connect AI to live databases and APIs to ensure answers are always based on the most current information.
Data Privacy & Security
Keep sensitive business data within your infrastructure. No leakage to public models, ensuring full control.
RAG delivers fact-checked answers from your data, while MCP ensures standardized connections and action execution.
Keep in mind that the strongest enterprise AI solutions combine both: knowledge + execution.
Software architect
Why Partner with SDH Global?
Tailored Solutions
Unlike one-size-fits-all approaches, we customize our RAG solution to your specific data sources and business needs. This means faster time-to-value and a system that solves your unique challenges.
Competitive Pricing
Our focused expertise in RAG development allows us to offer custom-built, high-performance solutions at highly competitive rates, providing a superior return on investment.
Rapid Deployment
Our streamlined process gets your RAG proof-of-concept up and running in weeks, not months. We prioritize rapid delivery of a working system that you can test and validate quickly.
What our clients say about our services
USA, Washington
President & Chief Customer Officer, FieldHub
They consistently lead us towards what yields in the long-term with flexibility, rather than a short-term easy fixes.
Software Development Hub has led around 30 development projects a year. Their careful development and rigorous testing have also led to bug-free deployments already. Moreover, they are praised for their friendly, efficient, and prompt attitudes throughout the engagement.
FAQ about Custom RAG Development
Answering key questions about our process, security, and the value we deliver.