Think of RAG as a smarter way to search your company’s knowledge base. It understands the context behind a query and retrieves relevant information. Then it generates accurate, meaningful responses, with sources or direct quotes when needed. As a result, you get faster access to the right knowledge and fewer gaps in understanding.
At Intelliarts, we’ve specialized in AI/ML for over 5 years, helping our partners achieve up to 90% faster workflows. With our RAG application development services, we transform general-purpose LLMs into business-ready tools that are tailored to your domain, aligned with your business needs, and designed to deliver measurable impact.
5 years of focus on AI/ML
AWS-certified engineers
Trusted by 90% returning clients
6-8 weeks for PoC and MVP delivery
40% of senior-level engineers
Innovation driven by PhD talent
LLM Development Services that Drive Business Results
RAG Strategy and Feasibility Consulting
Custom RAG Pipeline Development
Enterprise Search and Knowledge Systems
RAG-powered Chatbot Development
RAG Performance and Cost Optimization
RAG System Evaluation and Auditing
Our Proven RAG Development Projects
Hear It from Our Customers
Intelliarts developed an AI agent to streamline their traditional audit process conducted for Valency’s clients. We:
- Applied prompt engineering and fine-tuned LLMs
- Structured expert assessments into clear, easy-to-digest insights
- Reduced processing time from 5 minutes to a few seconds per query
- Used industry-specific tone and terminology for better quality
Their company culture is phenomenal, and it shows through in the quality of the developers. Technical skills aside, they’re smart, professional, adaptive, kind, communicative, proactive, hard-working, and excited.
Christian Rodriguez
CEO @trades.org
Our team built an AI model with an embedded semantic search engine for ProvenBase’s B2B sourcing platform. We:
- Automated candidate profile sourcing from job boards and social networks
- Matched profiles with job requirements using machine learning models trained from scratch
- Achieved over 90% accuracy in gender and ethnicity detection to support DEI goals
Tailored RAG Solutions for Your Business Sector
Our RAG Implementation Process
Why Companies Trust Us
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5+ years of experience in LLM and RAG development services
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Domain-specific knowledge
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Optimized retrieval engineering
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Senior AI/ML engineering team
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Tools and frameworks we use
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Trusted partner with a 90% customer return rate
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Rapid PoC and MVP delivery
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Secure and compliant RAG solutions
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Cutting-edge RAG research and innovation
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Awards and recognitions
Intelliarts combines over 5 years in AI/ML and deep hands-on RAG expertise, including retrieval design, vector databases, embeddings, and evaluation. Add here 25 years in software engineering, and you receive reliable, scalable RAG solutions that cut hallucinations and improve accuracy.
From renewable energy to agritech to insurance, we know that every industry speaks its own language. Our experts tailor retrieval pipelines and knowledge bases to your domain, making sure that each RAG response reflects real business context, rather than general AI output.
Our retrieval workflows are fine-tuned for both speed and accuracy, achieving up to 40% fewer hallucinations and faster response times. We apply hybrid retrieval, reranking, and metadata-based filtering to surface only the most relevant information to provide fact-based, actionable insights.
Need RAG services delivered by true experts? At Intelliarts, we have 40% of senior-level engineers and PhD-level specialists. Our ML team designs, tests, and scales RAG systems that perform reliably under real business workloads, whether it’s a rapid PoC or enterprise-grade deployment.
LangChain
LangGraph
LlamaIndex
Haystack
Pinecone
Weaviate
Milvus
ChromaDB
Redis
PostgreSQL pgvector
Sentence-Transformers
OpenAI Ada-v3
Cohere Embed v3
RAGAS
ARES
TruLens
Long-term collaboration drives everything we do. That’s why 90% of our customers return to us with new projects, be it a RAG-powered chatbot reducing research time by 90% or an AI audit agent cutting review time from minutes to seconds.
We help you validate RAG ideas fast, with PoCs delivered in as little as 5–8 weeks. Our iterative approach lets our partners test retrieval accuracy, measure business value early, and scale only what works best for their goals.
Data privacy and reliability are a must for us. Built in line with GDPR, HIPAA, and industry best practices, our solutions keep sensitive data protected and allow teams to trace and audit every step across retrieval and generation.
We stay ahead of the curve by experimenting with the latest RAG techniques, including adaptive retrieval, hybrid reranking, and multi-source context fusion. Our specialists test emerging approaches to increase accuracy and make your RAG systems smarter.
Top NLP Company by Clutch
Top Machine Learning Company in Ukraine by Clutch
Top BI and Big Data Company by Clutch
Top Generative AI Development Company by Selected Firms
Top IT Consulting Company by AppFutura
Top AI Consulting Company by Vendorland
Top AI Development Company by Tech Reviewer
Top Big Data Analytics Company by GoodFirms
LangChain
LangGraph
LlamaIndex
Haystack
Pinecone
Weaviate
Milvus
ChromaDB
Redis
PostgreSQL pgvector
Sentence-Transformers
OpenAI Ada-v3
Cohere Embed v3
RAGAS
ARES
TruLens
Top NLP Company by Clutch
Top Machine Learning Company in Ukraine by Clutch
Top BI and Big Data Company by Clutch
Top Generative AI Development Company by Selected Firms
Top IT Consulting Company by AppFutura
Top AI Consulting Company by Vendorland
Top AI Development Company by Tech Reviewer
Top Big Data Analytics Company by GoodFirms
Get in Touch
Looking for a partner you can trust? At Intelliarts, we provide robust RAG development services powered by our deep domain expertise and proven results.
With 90% of our customers returning with new projects, we know how to deliver solutions that cut hallucinations and deliver real business impact.
FAQ
How long does it take to build and deploy a RAG solution?
Timelines vary by complexity, data volume, system integration needs, and customization level. As a trusted RAG development partner, we typically start with a proof of concept delivered in 6–8 weeks, with full deployment following validation and scaling. For faster adoption, our RAG as a Service model allows you to start testing value without building infrastructure from scratch.
Do you offer flexible engagement models (fixed price, time & material, dedicated team)?
Yes, we offer all three engagement models. Fixed price works best for well-defined projects; time & material for evolving needs; and dedicated teams for long-term collaboration. At the same time, since we’re focused on long-term projects, a dedicated team model is our priority.
What kind of ongoing support and maintenance do you provide after deployment?
Support and maintenance is the final stage of our implementation process and an integral part of our retrieval augmented generation services. Intelliarts handles continuous monitoring, performance tuning, and prompt updates. The idea behind this is to keep your solution reliable and aligned with evolving business needs.