// praxis
Hire an LLM Integration Developer
LLM integration in production is a different discipline from using AI tools. Praxis builds LLM-powered systems that are reliable, cost-efficient, and maintainable — designed for production from the first line of code.
RAG systems
Retrieval-Augmented Generation — embedding your documents, knowledge bases, or product data so LLMs can answer questions accurately about your specific content. PostgreSQL pgvector or Pinecone depending on scale.
Prompt engineering
Structured prompts, few-shot examples, chain-of-thought, and output formatting. The difference between an LLM that sometimes gives the right answer and one that reliably does is largely in how you communicate with it.
Production reliability
Retry logic, fallback models, streaming responses, latency optimisation, and comprehensive error handling. LLMs fail. Production systems need to handle those failures gracefully.
question
Which LLM provider should I use?
It depends on your requirements. OpenAI for general capability, Anthropic Claude for reasoning and long context, open-source for cost and data privacy. Praxis advises based on your specific use case.
question
Can you build an LLM system using my company data?
Yes. RAG systems, fine-tuning where appropriate, and custom knowledge bases that keep your data in your own infrastructure.
Ready to discuss your project? Send a brief and we will be in touch within 24 hours.
or email hello@praxis.best — reply within 24 hours.