As a trusted RAG development company, Evangelist Apps delivers Custom RAG Solutions that are tailored to your business workflows, knowledge bases, and growth goals. Whether you want to unlock insights from documents, automate research, or enable intelligent search, we build RAG systems that work exactly how your business needs them to.
We build RAG systems that don't just work, they solve real business problems. Our team of expert RAG developers focus on strategy, functionality, performance, and long-term scalability so every RAG system delivers measurable outcomes from day one. From initial consultation to deployment and beyond, we handle every aspect of your RAG project.
We analyze your workflows, data landscape, and goals to identify high-impact RAG use cases. Our consultants define success metrics and create a practical roadmap for implementation.
Build retrieval pipelines, embeddings, and LLM integration tailored to your data. We design efficient search and ranking layers that deliver accurate, grounded responses.
Validate accuracy, relevance, and performance under realistic loads. We implement comprehensive testing to reduce incorrect responses and ensure production readiness.
Securely connect RAG to CRMs, knowledge bases, and business systems. We build secure data connectors and enable workflow automation with your existing tools.
Deliver production-ready applicationsβknowledge assistants, search UIs, and internal tools. We handle deployment, monitoring, and scalable rollout.
Optimized for speed and responsiveness with sub-second response times. Our RAG systems are built on enterprise-grade infrastructure ensuring 99.9% uptime.
RAG grounds AI responses in real data so answers are accurate and explainable. It reduces hallucinations, keeps sensitive data under your control, and lets you update AI outputs instantly by updating source content.
RAG grounds AI responses in your verified data sources. Dramatically reduce hallucinations and deliver factually correct answers your team can trust.
Access up-to-date information from your documents, databases, and knowledge bases. No need to retrain models when your content changes.
Skip expensive model retraining cycles. RAG implementations go live faster, letting you realize ROI in weeks instead of months.
Update AI outputs immediately by updating source content. No model retraining requiredβjust refresh your knowledge base and go.
Keep sensitive data under your control with on-premise or private cloud deployments. Meet compliance requirements without compromising AI capabilities.
Every AI response includes source citations. Understand exactly where answers come from with full transparency and audit trail capabilities.
Avoid expensive model fine-tuning and retraining. RAG leverages existing LLMs efficiently while keeping your proprietary data separate and secure.
Scale across products, departments, and teams seamlessly. One RAG infrastructure serves multiple use cases without duplicating effort.
Below are the core RAG services we deliver, each one focused on practical outcomes and production readiness.
We help you identify where RAG delivers the highest ROI and create a practical implementation strategy tailored to your organization's data landscape and technical capabilities.
We engineer robust retrieval pipelines, fine-tune embedding models, and configure prompts that deliver accurate, contextually grounded outputs for your specific domain.
We rigorously validate your RAG system's relevance, factual accuracy, and performance using comprehensive test suites and real-world scenarios.
We seamlessly connect your RAG system to existing enterprise tools, databases, and workflows while maintaining security, compliance, and data governance standards.
We deliver production-ready applicationsβfrom intelligent knowledge assistants and semantic search interfaces to autonomous agent tools that handle complex multi-step tasks.
From enterprise knowledge management to customer-facing applications, our RAG solutions deliver accurate, context-aware AI experiences tailored to your industry's unique requirements.
We follow a structured yet flexible development approach to ensure your RAG system delivers maximum value. Our proven agile methodology combines data engineering best practices with AI expertise to deliver exceptional results.
Projects Delivered
Uptime SLA
Enterprise Clients
Understanding goals, data sources, and success metrics
Project roadmap, requirements document, success metrics
Transforming raw data into searchable knowledge
Indexed knowledge base, chunking strategy, embedding pipeline
Building efficient search and relevance layers
Retrieval pipeline, ranking models, search API
Combining retrieval with LLMs for grounded responses
Integrated RAG system, prompt library, LLM configuration
Performance refinement and accuracy enhancement
Test reports, optimized models, performance benchmarks
Production roll-out and continuous improvement
Deployed RAG system, monitoring dashboard, documentation
For building RAG solutions we carefully choose components that work together, scale predictably, and deliver accurate answers when your business depends on it. Here's what powers our implementations.
Your data needs a home built for speed and precision. We implement production-ready vector stores that handle millions of embeddings without breaking a sweat.
Generic embeddings produce generic results. We select and fine-tune embedding models that actually understand your domain vocabulary and context.
Fetching documents is step one. We build intelligent pipelines that re-rank, filter, and synthesize retrieved chunks before they hit the LLM.
RAG systems need infrastructure that scales on demand and stays reliable under pressure. We deploy on battle-tested cloud platforms with proper observability.
Different tasks need different models. We wire up flexible LLM routing so you get the right model for each query type without vendor lock-in.
Stop researching tools. Start shipping solutions. We'll help you choose the right components and wire them into a system that actually works.
We use a modern production-grade technology stack to build secure, scalable, and high-performance RAG systems. From data pipelines to vector storage and model orchestration, every layer is built to support reliable retrieval and accurate generation at scale.



Our partnership ensures we deliver highly secure, scalable, and enterprise-ready RAG solutions built on industry-leading cloud infrastructure.
Choosing the right RAG development partner makes all the difference. At Evangelist Apps, we focus on building RAG systems that are strategic, intelligent, secure, and business-aligned.
We offer flexible engagement models to match project scope and budget for our RAG development services. Choose what works best for you.
2β4 weeks
Fixed-price assessment, use-case mapping and roadmap.
4β8 weeks
Time & materials for a production-ready pilot with one core use case.
Phased
Phased delivery, SLA, security review and full ops handover.
Monthly
Ongoing monitoring, tuning, and enhancements (monthly retainer).
Schedule a FREE consultation with our AI experts and find how a custom chatbot can transform your business operations.
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Sentinel House
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