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$
USD
I will integrate llms and rag into your existing software
Maurits B
About this gig
Your users expect AI features. Your competitors are already shipping them.
I integrate LLMs (GPT, Claude, open-source) and RAG systems into existing products your software gets smarter without a rewrite.
WHAT YOU GET:
Basic: Product analysis + step-by-step implementation roadmap where AI adds value, which models to use, cost estimates, and pitfalls to avoid.
Standard: Full integration into your codebase API setup, prompt engineering, context management, error handling, testing, and docs.
Premium: Everything in Standard + custom data pipeline, vector DB setup, retrieval tuning, evaluation framework, monitoring, and 14 days support.
COMMON USE CASES:
AI assistants answering from your knowledge base
Automated customer support with context-aware responses
Document analysis and summarization
Natural language search over your data
I built an AI-powered WhatsApp platform handling natural language property searches and automated voice calls in production. I know the difference between a ChatGPT wrapper and a system that works at scale.
MSc Computational Science (UvA). Published dev tools for LLM workflows (1K+ downloads).
Message me with your product details!
Get to know Maurits B
Maurits B
Freelance Full Stack Engineer
- FromNetherlands
- Member sinceSep 2025
- Avg. response time1 hour
Languages
English, Dutch
Your AI project shouldn't take 6 months to ship. I build production ML pipelines, LLM/RAG integrations, and AI-augmented dev workflows — in weeks.
MSc Computational Science (UvA) + BSc Applied Physics (TU Delft). I understand why models work and when they'll fail.
Built: AI-powered WhatsApp platform, Web3 PWAs, developer tools (1K+ downloads). Contributor to elizaOS (17K+ stars).
Stack: Python, TypeScript/Next.js, Rust, LangChain, OpenAI/Claude APIs, vector DBs.
I take 2-3 projects at a time. Message me — honest assessment within 2 hours.
My Portfolio
FAQ
What's the difference between LLM integration and RAG?
Basic LLM integration sends queries to an AI model directly. RAG first searches YOUR data, then feeds relevant context to the model — so it answers based on your information, not general knowledge. Most business use cases need RAG.
Which AI models do you work with?
GPT, Claude, Gemini, or others. Depending on: Speed, data privacy and type of work, I'll choose the appropriate models
How much will AI API costs be after delivery?
Typical RAG systems for SMBs run $50-500/month in API costs depending on volume. I optimize for cost-efficiency with smart caching, context windowing, and model selection. Full cost projections included.
Will this work with my existing database?
Yes. I integrate with PostgreSQL, MongoDB, Supabase, Firebase, and most common DBs. For document-heavy use cases I set up vector databases (Pinecone, Weaviate, pgvector) alongside your existing data.
Can you maintain the system after launch?
Yes. Premium includes 14 days of support. After that I offer monthly retainers for ongoing optimization — monitoring, improving prompts, adding data sources, and scaling as usage grows.
