Nurvex logonurvex.ai
Book a call
Blogs

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.

What actually gets automated

Workflows we automate for RAG Pipeline Development.

Generic answers → accurate to your docs

Tuned ingestion & chunking

Your documents processed to keep retrieval precise, not a default chunking scheme.

Slow manual search → fast, relevant retrieval

Vector search & retrieval

The right passage surfaced in milliseconds, not a manual document hunt.

Unverifiable answer → traceable to the document

Source citations

Every answer points back to exactly where it came from.

Answers go stale → stay current automatically

Ongoing re-indexing

Updates to your source docs flow through without a manual rebuild.

One knowledge silo → policies, tickets, docs combined

Multi-source grounding

Retrieval pulls from every source you've got, not just one.

Built once → reused across every agent

Powers agents & search

The same pipeline feeds every agent and internal search tool that needs it.

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 15-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.

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

Or just pick a time that works.

15 minutes, no prep needed — we'll ask a few questions and tell you exactly what to automate first.

Ready when you areLet's talkhello@nurvex.ai