Name: Plavno - Kazakhstan Office
Address: district Yesil, street Kerey, Zhanibek khans, house 14/2, n.p. 47, Astana, 010000, KZ
Telephone: +77786692912

RAG Development Services to Build Accurate, Knowledge-Driven AI Solutions

Plavno helps businesses design, build, and integrate RAG systems that connect large language models with verified company data, documents, knowledge bases, and enterprise systems. We develop custom RAG solutions, AI assistants, document Q&A platforms, enterprise knowledge search tools, and LLM-powered automation systems that deliver more accurate, context-aware, and source-grounded responses.

Develop Diverse RAG Solutions for Your Business

Custom RAG Development

Build custom retrieval-augmented generation systems tailored to your business workflows, data sources, users, and security requirements.

Custom RAG system development
LLM-powered knowledge platforms
AI assistant development
RAG implementation for SaaS products

Enterprise Knowledge Search

Turn scattered company knowledge into an AI-powered search experience that helps employees find accurate answers faster.

Internal document search
Enterprise knowledge base search
Policy and process Q&A
Source-backed employee assistants

RAG Chatbot Development

Build RAG-powered chatbots that answer customer or employee questions using verified business knowledge instead of generic model responses.

Customer support chatbots
Internal helpdesk assistants
Product Q&A bots
Compliance support assistants

Document Q&A Systems

Create AI systems that allow users to ask questions across contracts, reports, policies, manuals, research files, and other business documents.

Contract Q&A
Report analysis
Legal document search
Technical documentation assistants

Private RAG Solutions

Deploy RAG systems in private, hybrid, or controlled environments for sensitive business data and regulated workflows.

Private RAG deployment
Secure vector database setup
Internal document retrieval
Access-aware knowledge search

Multi-Source RAG Platforms

Connect AI systems to multiple internal and external data sources to provide complete, context-rich answers.

CRM data retrieval
Cloud storage integration
Database search
Knowledge platform integration

RAG for Workflow Automation

Use RAG to power automation workflows where AI retrieves the right knowledge before generating responses, summaries, or actions.

Ticket automation
Report generation
Email response drafting
CRM and helpdesk workflows

RAG Optimization and Evaluation

Improve retrieval accuracy, response relevance, system speed, and answer quality with continuous testing and optimization.

Retrieval quality testing
Chunking strategy optimization
Embedding model evaluation
Hallucination reduction

Create and upgrade your product with us

Whether you need a RAG chatbot, an enterprise knowledge search platform, a document Q&A system, or a private RAG architecture, Plavno helps you move from idea to secure production-ready implementation. Our team combines AI engineering, backend development, cloud infrastructure, data engineering, and business automation expertise to build RAG systems that work in real business environments.

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Compliance and Security Essentials

Secure Data Retrieval

We design RAG systems with secure retrieval logic, controlled data access, and protected connections to internal documents and business systems.

Role-Based Access Control

We configure permissions so users only retrieve and access the information that matches their role, department, and authorization level.

Source Tracking and Audit Logs

We add source references, usage logs, retrieval history, and monitoring to improve transparency and support enterprise governance.

Prompt Injection and Data Leakage Testing

We test RAG systems for prompt injection, unsafe document instructions, hallucinations, data leakage, and business-rule violations before production launch.

FAQs

Find answers to your common concerns

What are RAG development services?

RAG development services include the design, development, integration, deployment, and optimization of retrieval-augmented generation systems that connect large language models to business data, documents, and knowledge bases.

What is retrieval-augmented generation?

Retrieval-augmented generation, or RAG, is an AI architecture that retrieves relevant information from external sources before generating an answer. This helps AI systems provide more accurate and context-aware responses.

Why does my business need a RAG system?

A RAG system is useful when your business needs AI to answer questions based on internal documents, policies, databases, product information, customer records, or enterprise knowledge instead of relying only on generic model knowledge.

Can Plavno build a custom RAG chatbot?

Yes. Plavno can build custom RAG chatbots for customer support, employee helpdesks, product Q&A, internal knowledge search, legal workflows, compliance support, and SaaS platforms.

Can RAG work with our internal company data?

Yes. Plavno can connect RAG systems to internal documents, databases, knowledge bases, cloud storage, CRMs, ERPs, helpdesks, and other enterprise tools using secure integrations.

Can RAG reduce hallucinations?

Yes. RAG can reduce hallucination risk by grounding AI responses in retrieved and verified information. For production systems, Plavno also adds evaluation, monitoring, guardrails, and source tracking.

Is RAG safe for enterprise use?

Yes, if it is built with secure architecture. Enterprise RAG systems should include data governance, role-based access control, audit logs, secure retrieval, monitoring, and prompt injection testing.

How much does RAG development cost?

The cost depends on the number of data sources, document volume, integrations, model choice, infrastructure, security requirements, and whether you need an MVP, a product feature, or a full enterprise RAG platform.

Can RAG be deployed privately?

Yes. Plavno can build private RAG systems using private cloud, hybrid cloud, or on-premise infrastructure depending on your security and compliance requirements.

Which AI models can be used for RAG?

RAG systems can work with GPT, Claude, Gemini, open-source LLMs, embedding models, and custom AI infrastructure depending on your business goals, data sensitivity, cost, and performance requirements.

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RAG Development Services to Build Accurate, Knowledge-Driven AI Solutions

Develop Diverse RAG Solutions for Your Business

Custom RAG Development

Enterprise Knowledge Search

RAG Chatbot Development

Document Q&A Systems

Private RAG Solutions

Multi-Source RAG Platforms

RAG for Workflow Automation

RAG Optimization and Evaluation

Create and upgrade your product with us

Our Latest RAG Projects

Knowledge Graph & Semantic Product Intelligence Platform for a Global Industrial Equipment Manufacturer

Our RAG development services are suited for

The core benefits of RAG development services

Paying too much for inference — or stuck with one vendor? Let's fix that.

Compliance and Security Essentials

Secure Data Retrieval

Role-Based Access Control

Source Tracking and Audit Logs

Prompt Injection and Data Leakage Testing

Advanced RAG Tech to Power Your Software

Large Language Models

Vector Databases

Embedding Models

Retrieval-Augmented Generation

LLMOps and Evaluation