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LLM App Development

Production LLM apps, not weekend demos.

RAGOpenAIClaudeLangChain
Built by Waystoweb
The overview

We build complete LLM applications that hold up in production โ€” grounded in your data, evaluated against real cases, and wired into the tools your users already work in. From RAG pipelines and document Q&A to AI copilots and custom model integrations, we ship the whole thing, not just a prototype.

What you get

Everything bundled into this service.

RAG over your data

Retrieval pipelines that ground answers in your docs, not generic guesses.

Copilots & Q&A

In-product assistants and document Q&A that feel native to your app.

Custom integrations

Connect any model and your tools behind one clean, swappable interface.

Evaluated & safe

Eval sets, guardrails and monitoring so quality holds up under real use.

How we work

From kickoff to launch

1

Define the job

Pin down the use case, data sources and what a good answer looks like.

2

Build the pipeline

Retrieval, prompting and tool use, with an eval set from day one.

3

Harden for prod

Add guardrails, caching, fallbacks and cost controls before launch.

4

Ship & improve

Deploy with monitoring, then tune on real conversations and edge cases.

RAG
Grounded answers
Prod
Ready to ship
Evals
Quality you trust
Tools & technologies we reach for
ClaudeOpenAILangChainVector DBPython
Good questions

Frequently asked

RAG pipelines, document Q&A, in-product copilots, internal assistants and custom model integrations โ€” anything LLM-powered meant for real users.

Claude, GPT-class models and open models โ€” chosen per task, behind an interface that lets you swap providers without a rewrite.

We ground responses in your data with retrieval, run eval sets against real cases, and add guardrails plus human fallback where it matters.

Ready to build it?

Let's talk through your llm app development project and map a plan that fits your budget and timeline.

Start your project