RAG vs Fine-Tuning: Which One Do You Actually Need?
A practical breakdown for product teams choosing between retrieval and fine-tuning.
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AI Development
We build production-grade AI applications, LLM tools, and RAG systems that turn your data into real business outcomes.
Service
AI Development
Build AI-powered systems, LLM tools, RAG assistants, and automation workflows that help your business work faster and smarter.
AI Automation
Automate decisions and workflows with production-grade AI agents.
LLM Applications
Custom GPT, Claude, and open-source LLM apps for your domain.
RAG Systems
Connect your data to AI with secure retrieval-augmented generation.
- Custom LLM and RAG pipelines
- Secure private data integration
- Production monitoring & evals
- Cost-optimized model routing
Our AI Development Services
AI Strategy & Consulting
Identify the highest-ROI AI use cases for your business and a clear roadmap to ship them.
Custom LLM Applications
End-to-end AI products built on GPT, Claude, and open-source models tailored to your domain.
RAG & Knowledge Systems
Retrieval-augmented assistants that answer accurately from your private documents and data.
AI Workflow Automation
Automate document review, data extraction, classification, and multi-step operations.
AI Agents & Copilots
Goal-driven agents that plan, call tools, and complete tasks across your stack.
Model Deployment & MLOps
Secure, scalable hosting with monitoring, evaluations, and continuous improvement.
AI Development Features
Private Data Handling
Your data stays in your environment with strict access controls.
Low Latency Inference
Optimized prompt and retrieval pipelines for fast response times.
Model Flexibility
Swap between OpenAI, Anthropic, and open-source models without rewrites.
Built-in Evaluations
Quality, accuracy, and hallucination tests baked into every release.
Scalable Architecture
Designed to handle thousands of concurrent users from day one.
Cost Optimization
Smart caching and model routing keep token spend predictable.
Top AI Development Technologies We Use
PythonOpenAILangChainFastAPIPineconeSupabasePostgreSQL
AI Development Service Process
1
Discovery & Use Case Mapping
Identify where AI delivers measurable value in your workflows.
2
Data Preparation
Audit, clean, and structure your data for high-quality model results.
3
Model & Pipeline Design
Choose the right models and build the RAG or agent architecture.
4
Build, Evaluate & Iterate
Develop, run evals, and refine prompts and retrieval continuously.
5
Deploy & Monitor
Ship to production with logging, monitoring, and ongoing tuning.
Why Choose Code Envision Technologies for AI Development
Production-Ready Engineering
We ship AI products that scale — not throwaway prototypes.
Security & Compliance First
Private data, encrypted pipelines, and audit-friendly architecture.
Measurable ROI in 90 Days
Clear KPIs and evaluations from day one.
Long-Term Partnership
Ongoing optimization, monitoring, and model upgrades.
Frequently Asked Questions
Ready to build your AI Development solution?
Let's talk about your goals and how we can ship them — fast, reliably, and to your budget.
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