Hire RAG developers who build retrieval-augmented systems that answer from your own data with verifiable sources, not generic models that confidently make things up.
Fixed-scope packages, quoted before we start. We scope to a defined outcome and quote a fixed price up front, no open-ended hourly billing. Larger builds are milestone-based.
Our team builds and runs production AI systems, from Battery Smart's Hindi voice agent on a 1M-plus device network to grounded AI integrations on real business data. RAG done right is retrieval engineering plus evaluation discipline, and that is exactly the production rigor our developers bring.
They build the retrieval layer that grounds an AI in your data: ingestion, chunking, embeddings, and retrieval strategy, plus the evaluation that proves answers are accurate and traceable to a source.
Both. We staff a fixed-scope RAG project or provide dedicated developers on a monthly basis, embedded in your tooling and cadence.
With retrieval quality and evaluation. We design chunking and embeddings for your content and measure answers against real questions before the system faces users, so it cites rather than guesses.
Book a call and tell us what your AI needs to know. We will scope the RAG build with you.