Question 1

What's the difference between RAG and fine-tuning?

Accepted Answer

RAG (retrieval augmented generation) grounds the model in your documents at query time. It's faster to set up and works well when your knowledge base changes often. Fine-tuning retrains the model on your data to improve accuracy on a specific task. We use RAG first and fine-tune only when RAG accuracy isn't enough for the use case.

Question 2

How much does a GenAI system cost to build?

Accepted Answer

A basic chatbot grounded in a knowledge base runs $20K to $50K. A production RAG pipeline with hybrid search, re-ranking, and hallucination guardrails runs $50K to $120K. An agentic AI system with multi-step workflows, CRM integrations, and eval pipelines runs $100K to $300K+. We scope every project individually.

Question 3

Can you integrate with our existing LLM provider?

Accepted Answer

Yes. We integrate with OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, Google Vertex AI, and self-hosted models like Llama and Mistral. We also build model routing so you're not locked to one provider. If one goes down, traffic shifts automatically in under a second.

Question 4

How do you handle data privacy with GenAI?

Accepted Answer

Models and RAG pipelines deploy inside your AWS, Azure, or GCP account. Your documents never leave your infrastructure. For regulated industries we do fully air-gapped deployments with no data touching external APIs. We've done this for healthcare clients under HIPAA requirements.

Question 5

How long does it take to ship a RAG pipeline?

Accepted Answer

A focused RAG system on a defined knowledge base takes 4 to 8 weeks from start to production. That includes chunking strategy, embedding model selection, vector database setup, hybrid search tuning, and hallucination guardrails. Agentic systems with multi-step workflows take 8 to 16 weeks.

Project Type	What's Included	Timeline	Starting At
AI Prototype	Single use case, real data, accuracy and cost benchmarks	2-3 weeks	$10K
RAG System	Hybrid search, re-ranking, guardrails, production API	4-6 weeks	$25K
Multi-Agent Platform	Agent orchestration, tool integrations, eval pipeline	6-10 weeks	$50K
Enterprise GenAI	Custom fine-tuned model, MLOps, compliance, multi-agent	10-18 weeks	$100K

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LLM Integration & Fine-Tuning

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Quick answers.

RAG or fine-tuning: which should I use?

How do you handle data privacy?

Which LLM providers do you work with?

How much does a generative AI system cost?

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