LLM & RAG Integration Services
BuildFastLabs integrates large language models and retrieval-augmented generation (RAG) into your software and workflows — so your product can answer questions over your own data accurately. We are model-agnostic (Claude, GPT, open-source) and engineer for accuracy, cost, and privacy.
RAG over your data
We build retrieval pipelines so the model answers from your documents, database, and knowledge — not hallucinations.
Model-agnostic
Claude, GPT, or open-source via OpenRouter — chosen per task for accuracy, cost, and privacy.
Agents and tools
We build AI agents that can call tools, query systems, and take actions inside your stack.
Production-grade
Evaluation, guardrails, caching, and monitoring so the AI is reliable in production.
What we deliver
- RAG pipelines over your documents and data
- LLM integration into existing apps
- AI agents with tool/function calling
- Vector search and embeddings setup
- Evaluation, guardrails, and monitoring
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Frequently asked questions
What is RAG integration?
Retrieval-augmented generation (RAG) connects an LLM to your own data — documents, databases, knowledge bases — so it answers from your real information instead of guessing. We build the retrieval pipeline, embeddings, and guardrails for accurate, grounded answers.
Which LLM should I use?
It depends on the task. We are model-agnostic and select between Claude, GPT, and open-source models via OpenRouter based on accuracy, latency, cost, and privacy requirements.
Can you add AI to my existing product?
Yes. We integrate LLM and RAG capabilities into your existing codebase — chat, search, summarization, extraction, or agents — with evaluation and monitoring so it is reliable in production.
Ready to build it the right way?
Book a free 30-minute strategy call. We'll map your workflow, scope the build, and give you a clear plan — no commitment, full code ownership.
Book a Free Strategy Call