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Build · What We Do

RAG Pipeline Development

A retrieval pipeline tuned to your actual knowledge base — docs, policies, past tickets — so every agent answer is grounded in what's true for your business, not a generic model guess.

Grounded in your own documents

From raw docs to a cited answer.

Documents
Chunking
Embeddings
Vector search
Answer

“Sealed items can be returned within 45 days.”

Source: Return Policy, §3.2

What's included

Everything covered under RAG Pipeline Development.

01

Tuned ingestion & chunking

Your documents processed in a way that keeps answers accurate, not generic.

02

Embedding & vector search

Fast, relevant retrieval set up and tuned for your content.

03

Source citations

Every answer traceable back to the document it came from.

04

Ongoing re-indexing

The pipeline stays current as your documents change.

Guardrails built in
Wired into your tools
Proof before you scale

How we deliver it

From first call to a live pipeline.

1

Discovery Week 1

We map the workflow this service touches and confirm it's worth building before any code gets written.

2

Architecture Week 1–2

A concrete build plan: what it does, what it connects to, what it costs, what it saves.

3

Build & Test Week 2–4

Built and tested against real data and real workflows, with guardrails in from day one.

4

Deploy & Evolve Ongoing

Live in your tools, monitored and tuned — refined every month as you grow.

Where it fits

Built for teams that need it most.

Legal Services

Intake and consultation questions answered from your actual case files and policies.

Insurance

Claims and policy questions grounded in the real policy documents.

Professional Services

Client questions answered from your own knowledge base, not a generic model.

Explore more

Related services.

Questions teams ask first

About RAG Pipeline Development.

It's how an AI answer gets grounded in your own documents instead of relying purely on what the model already knows.

Whatever you already have — policies, FAQs, past tickets. We scope what's usable during discovery.

It powers agents and assistants, but the pipeline itself can also feed internal search tools.

Re-indexing is built in, so updates to your source docs flow through automatically.

Talk about RAG Pipeline Development

Find out what's worth automating in your business.

A free 20-minute call. We'll walk through your operations together and give you an honest answer — including what you shouldn't automate yet.

Talk to us directly

Prefer a direct line? Reach us any way that suits you — a real reply within one business day, guaranteed.

Request my free audit

No spam, no obligation — just an honest read on your automation math.

Ready when you areLet's talkhello@nurvex.ai