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RAG Development Services
Enhance your products with our Retrieval Augmented Generation (RAG) development services. We build intelligent, context-aware systems that combine powerful generative AI with real-time data retrieval, delivering highly accurate, explainable, and reliable results.
What Is Retrieval Augmented Generation?
Retrieval-Augmented Generation (RAG) is a powerful AI model that combines information retrieval with text generation. It first fetches relevant data from large knowledge sources, then uses that context to produce accurate, fact-based responses. The RAG process typically involves three key steps:
Retrieval
When a user submits a query, the system searches external sources or internal databases to retrieve the most relevant and up-to-date information.
Augmentation
The retrieved content is combined with the AI’s existing knowledge, enriching the context and allowing the model to understand better and process the question.
Generation
Using its internal training and the augmented context, the model generates a precise, well-informed response tailored to the user's query.
Retrieval Augmented Generation Services We Offer
Our RAG development services help businesses generate smarter, richer, and more contextual outputs by combining leading LLM practices with advanced retrieval-augmented generation systems.
Custom RAG development services
At Requestum, we craft custom RAG-powered applications tailored to your business needs, combining advanced retrieval techniques with intelligent generation to solve complex challenges.
RAG-powered chatbot development
Get chatbots that provide intelligent experiences. Our RAG development company creates bots that retrieve real-time, reliable information to drive meaningful conversations and elevate customer support.
Domain-specific RAG solutions
Our RAG solutions development services focus on building custom Retrieval-Augmented Generation models tailored for key industries, ensuring accurate, compliance-ready AI outputs.
Custom RAG model fine-tuning
Boost the performance of your RAG solutions with our model fine-tuning services. We adapt pre-trained models to your datasets and industry needs, ensuring greater accuracy, relevance, and efficiency.
RAG system integration services
Integrate RAG systems effortlessly into your existing infrastructure. We connect RAG models to your tools, databases, and workflows, ensuring seamless functionality and minimal disruption to your operations.
RAG system evaluation and improvement
Within RAG services, we audit your existing Retrieval-Augmented Generation system by improving data relevance, evaluating model performance, identifying bottlenecks, and optimizing key components.
Our Case Studies
AI Solution for Analyzing & Streaming Casino Card Games in Real-Time
We implemented a solution that proved to be an invaluable asset for our client. It provides casino owners with critical insights into table load, employee behavior, and potential security vulnerabilities. The software not only enhances security measures but also equips our client with a competitive edge, facilitating more efficient casino operations through improved analysis of games, players, and staff.
Demand Forecasting Solution for Transportation Services
By blending advanced machine learning, geospatial analysis, and real-time data integration, this solution improved daily operations and allowed transport companies to respond to fluctuating demand.
Detection of Cars on Overhead Images
The primary aim of this project was to calculate the density of cars in a chosen region. This analysis was crucial for understanding traffic patterns, aiding urban planning, and developing smart city initiatives.
Benefits of RAG Development Services & Solutions
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High accuracy and real-time relevance
Minimize misinformation by integrating live, authoritative data sources, keeping your AI outputs current, precise, and trustworthy.
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Cost-effective deployment
RAG development services boost AI system performance by using external data, cutting the costs of retraining and model reengineering.
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Strengthened user trust and transparency
Deliver verifiable, source-attributed responses that build user confidence and reinforce the credibility of your AI solutions.
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Scalability without retraining
Through expert RAG development, rapidly expand capabilities by accessing new external knowledge bases without the need for extensive model retraining.
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Greater developer control and flexibility
RAG solutions allow you to adapt retrieval strategies on the fly, securely manage data sources, update information quickly, and meet business demands
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Faster troubleshooting and maintenance
Easily trace errors back to their source for faster diagnostics, enhancing overall system reliability and maintenance speed.
Our RAG Development Process
01
Requirement analysis
Every successful RAG solution begins with a clear understanding of your business needs and strategic objectives. We work closely with your team to assess key challenges, identify high-impact use cases, and map out how AI-driven retrieval and generation can solve them. At this stage, we also define measurable success through tailored KPIs to guide development and ensure long-term ROI.
02
Data collection & processing
We collect diverse datasets (structured and unstructured) from across your organization and relevant external sources. Our team preprocesses, cleans, and formats this data to ensure it’s AI-ready, then indexes it to form a robust, scalable knowledge base. This foundation enables your RAG system to retrieve high-quality, contextually relevant information at speed and scale.
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RAG model designing
Next, we design the optimal architecture for your RAG system. We select the most suitable retriever and generator components based on your use case, ensuring both performance and scalability. Our team builds out the model framework, configuring workflows that allow for efficient and intelligent knowledge retrieval, enabling contextual responses that deliver real value.
04
Model training & fine-tuning
With the architecture in place, our RAG development company trains the model using domain-specific datasets to maximize relevance and accuracy. Fine-tuning is applied to optimize performance across real-world conditions. Through rigorous validation and iterative testing, we ensure your solution is precise, responsive, and aligned with real operational needs.
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Integration & deployment
During the text stage of the RAG development services process, we seamlessly integrate the solution into your existing systems, ensuring minimal disruption and smooth alignment with current workflows. AI-powered retrieval and generation are embedded where they create the most impact, enhancing overall system intelligence, productivity, and user experience across platforms.
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Monitoring & optimization
Deployment is only the beginning. At Requestum, we continuously monitor your RAG system’s performance, applying adaptive learning and feedback mechanisms to keep it evolving. Our professionals conduct regular updates, performance audits, and optimization cycles to ensure the solution stays efficient, relevant, and aligned with your business goals over time.
Have a project in mind?
Write us a message to get a quote
Industries We Serve
Construction
Logistics
Real Estate
Sports
Our Tech Stack for RAG Development
Why Choose Us for RAG Development Services
Expertise in AI & RAG development
Our team of AI experts has deep experience in building RAG solutions tailored to diverse industries and use cases, delivering high-impact, intelligent results.
Data security as a foundation
We prioritize data security at every step of the RAG development lifecycle by implementing industry-standard protocols that safeguard sensitive information and ensure compliance.
Seamless integration of a system
Our RAG solutions are designed for effortless integration into your existing infrastructure, enhancing LLM performance without disrupting current workflows or tools.
Scalable & future-ready architecture
Within RAG development services, we build systems that grow with your business, ensuring adaptability, long-term efficiency, and alignment with evolving needs and demands.
What our customers say
Discover testimonials from our clients and learn why they trust us.
What our customers say
Discover testimonials from our clients and learn why they trust us.
James Hodson
CEO, MySyla
Requestum works more efficiently during a war than most other teams work in peacetime. The quality of development work is excellent on all fronts. Despite setbacks with the team needing to move around the country to stay safe, air raid sirens, and Internet outages, the team has never missed a deadline or gone a day without finding a way to communicate. Requestum genuinely cared about making sure the final product was exactly what was needed. The team improved the features in ways that we could never have come up with ourselves. They obviously enjoy working together, and have created an excellent team spirit and work ethos.
Danny van de Griend
CEO, Cecil Alliance
Requestum was always accessible and ready to discuss new ideas. Every suggestion that i have made during the project was carefully considered, and went through feasibility pipeline which worked perfectly for my platform.
VERIFIED
Review on
Ben Clink
Head of Customer & Digital, South Sydney Rabbitohs
I can confidently call Requestum a reliable partner who delivered an easy-to-use, feature-rich app on time and within budget. The team worked collaboratively, accommodated all requests and scope changes, and communicated effectively throughout the project. They went the extra mile to understand and respond to the requirements.
GianBruno Torrano
Vice President, Soft-net Sp. Z o.o.
The team is readily available and regularly checks in. Their responsive nature sets them apart and supplements continued engagement. Requestum has facilitated a positive customer experience by understanding the requirements and successfully implementing a number of complex backend functionalities.
Ruairidh Galbraith
Digital project manager, Uncommon Knowledge
The team at Requestum is very friendly, efficient and professional. We have worked with them on more than one occasion and are very pleased with the quality of service. So far we’ve made back the money that we spent in less than eight months of launching.
Frequently Asked Question
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What is Retrieval-Augmented Generation?
Retrieval-Augmented Generation (RAG) is an advanced AI framework that combines real-time data retrieval with language generation models. By accessing relevant external or internal data sources during response generation, RAG delivers accurate, context-rich outputs that support informed decision-making and enhance business performance.
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How can RAG AI solutions help my business grow?
RAG AI solutions significantly enhance decision-making by retrieving accurate, contextually relevant information in real time. They improve customer interactions, streamline business processes, and reduce errors. With a well-designed RAG system, your business gains deeper insights, leading to smarter strategies and more efficient operations.
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Can RAG solutions be customized to domain-specific requirements?
Yes. As part of our RAG software development services, we create custom solutions tailored to specific industries by training models on specialized datasets and integrating domain-specific knowledge graphs. This ensures highly accurate and context-aware results.
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Are RAG solutions scalable for future growth?
Yes, our RAG solutions are built with scalability in mind, allowing them to grow alongside your business and accommodate expanding data sources without performance loss.
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How long does RAG application development take?
The timeline for RAG application development services depends on your project’s complexity and specific business requirements. At Requestum, our agile approach ensures efficient, high-quality delivery, typically within 8 to 16 weeks.
Our contacts
We are committed to ensure quality in detail and provide meaningful impact for customers’ business and audience.
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UA Sales Office:
sales@requestum.com -
HR Team:
talents@requestum.com -
Estonia
15551, Harju maakond, Tallinn, Lasnamäe linnaosa, Sepapaja tn 6
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Ukraine
61000, 7/9 Svobody street, Kharkiv
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Switzerland
6313, Seminarstrasse, 5, Menzingen