- AI Transformation
Our AI Team
Sofia
Ivan
Vlad
Anton
Technolody Stack
- Services
Full Cycle Development
By Industry
- Works
Other projects
AI Learning PersonalizationSmart content recommendationsHotel AI ConciergeAI assistant for hotel guestsClaims Documentation AutomationPlatform for faster claims processingAI for Candidate ScreeningSmart HR efficiency boosterAI Voice AgentAI agent for hands-free learningLLM Legal SummarizationEfficient and fast legal summariesVision-Based Driving AssistanceReal-time threat detection system - Company
Yellow in Numbers
$2.1B+
Value generated through AI innovation47
Custom LLMs and AI agents deployed30M+
Engaging with products we created98%
Projects delivered within agreed budget
RAG Development
We design and build RAG systems that connect large language models to your company’s knowledge base, documents, databases, and workflows.
Numbers
$2.1B+
Revenue generated by AI innovation
47+
Custom AI solutions deployed
10+
Years of experience
98%
Projects delivered within agreed budget
Our RAG Development Services
We provide end-to-end custom RAG development services for companies that need practical AI features to fit real business conditions.
Have a use case in mind?
Our Works
Our RAG Implementation Process
We follow a structured, end-to-end approach to design, build, and deploy custom RAG solutions.
Discovery
We begin by mapping your business goals, user journeys, data sources, and security needs. At this stage, we define what success looks like, what content the system should access, and what the model should never do.
Data audit
We assess document quality, source systems, update frequency, permissions, and integration complexity. We design the retrieval pipeline, indexing strategy, and overall RAG application development architecture.
RAG Architecture Design
Yellow designs custom RAG architectures to address latency expectations, security layers, user roles, and integration headaches with existing tools.
UX and interface planning
We design conversational flows, source displays, filters, feedback loops, and fallback states that make the product easier to trust and easier to use.
Development and integration
Our engineers connect models, retrieval pipelines, business systems, and frontend components into one working product that supports fact-based generation and stable performance.
Testing and refinement
We test for relevance, latency, access control, answer quality, and failure cases. And since this type of development is iterative due to messy real-world data and unpredictable users, we refine the final solution.
Deployment and support
After launch, we monitor usage, improve retrieval quality, and expand capabilities if needed. Support includes updates, retraining decisions where relevant, prompt improvements, and scaling the system with your business.
Let’s turn your data into a working solution.
Tech stack
Our RAG development team leverages a modern tech stack, combining leading LLMs, vector databases, and scalable cloud infrastructure to ensure reliability, speed, and seamless integration.
LLMs
ChatGPT, Claude, Llama
Vector databases
Pinecone, Weaviate, Qdrant, FAISS, Chroma
Frameworks
LangChain, LlamaIndex
Backend
Python, Node.js, FastAPI, Django
Frontend
React, JavaScript, Next.js, TypeScript
Cloud and infrastructure
AWS, Google Cloud, Azure, Docker, Kubernetes
Data processing
PostgreSQL, Elasticsearch, Redis, Apache
Custom RAG Solutions for Various Industries
We build tailored RAG solutions designed to meet the unique needs of different industries.
Healthcare
We build RAG systems for clinical knowledge bases, medical document retrieval, patient record querying, and internal healthcare assistants.
Fintech
We build RAG development solutions for financial data retrieval, regulatory document search, risk analysis tools, and AI-powered financial assistants.
Legal
For the legal industry our RAG application development services include legal document search, case law retrieval, contract analysis, and internal legal research assistants.
E-commerce
We create RAG systems for product catalog search, customer support assistants, inventory knowledge bases, and recommendation engines.
Logistics
We build RAG systems for supply chain data access, shipment tracking assistants, operational knowledge bases, and logistics support tools.
Education
We build RAG application development tools for learning content retrieval, academic knowledge bases, research assistants, and student support tools.
Why Choose Yellow as Your RAG Development Partner?
Here’s what makes us a top-tier RAG application development company.
Business-first thinking
We focus on real business outcomes, designing RAG solutions around your goals, workflows, and ROI, not just the technology.
Strong Expertise
RAG sits between search, AI, UX, and backend systems. Our team brings deep expertise in RAG architecture, LLM integration, and scalable AI systems.
Clear communication
We maintain transparent, consistent communication throughout the project, keeping you aligned at every stage and ensuring smooth collaboration.
Practical experience
We bring hands-on experience, managing the full complexity of APIs, document stores, cloud infrastructure, user roles, search behavior, and model performance.
Have a project in mind?
FAQ
Why do I need RAG?
What is the difference between RAG and fine-tuning an LLM?
Can RAG work with private company data?
How much does custom RAG development cost?
What is the difference between AI agents and RAG systems?
Can you integrate RAG into our existing workflows?