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RAG & Knowledge

RAG & Knowledge SystemsAnswers grounded in your data.

Retrieval pipelines that are accurate, cited, and continuously evaluated, so your AI answers from your data and you can trust, and verify, every word.

cited
every answer
evaluated
continuously
fresh
always current
3-6 wks
to first ship
arAnswer Live

Refund window is 30 days.[src]

Exceptions for damaged items.[src]

See policy §4.2.

Linked to your knowledge base
The overview

Answers grounded in your data.

A chatbot that confidently makes things up is a liability. We build retrieval systems that ground every answer in your documents and cite the source, with evaluation to keep them honest.

We get ingestion and chunking right, use hybrid retrieval for relevance, enforce citations and freshness, and wrap it all in eval harnesses so accuracy does not silently drift.

The result is knowledge AI your team and your customers can actually rely on.

See it in action

Retrieval done right.

Scroll through it, the screens move with you.

01 Cited answers

Every answer, traceable

Responses grounded in your documents with citations, so anyone can verify the source.

arAnswer Live

Refund window is 30 days.[src]

Exceptions for damaged items.[src]

See policy §4.2.

Linked to your knowledge base
02 Eval harness

Accuracy you can prove

Recall, precision, and faithfulness measured continuously so quality never silently drifts.

arEvals Live
94%
answer accuracy
0.91
faithfulness
96%
citation rate
03 Freshness

Always current sources

Sources tracked for freshness and re-indexed, so answers reflect today, not last quarter.

arSources Live
SourceUpdatedStatus
Policy KB2h agoFresh
Product docs1d agoFresh
Pricing5m agoSynced
What's included

Everything in the engagement.

Ingestion & chunking

Get documents in cleanly with chunking tuned for retrieval quality.

Hybrid retrieval

Combine semantic and keyword retrieval for relevance that holds up.

Citation & freshness

Enforce citations and keep sources current so answers stay trustworthy.

Eval harnesses

Measure accuracy, faithfulness, and recall continuously to prevent drift.

Vector & data infra

Stand up the vector and data infrastructure to scale retrieval.

Access-aware

Respect permissions so users only retrieve what they should.

How we engage

A clear path from kickoff to value.

01

Scope & align

We align on goals, constraints, and what success looks like, then scope a focused engagement with a clear baseline.

02

Assess & design

We assess your starting point and design the approach, architecture, and sequencing before a line of code.

03

Build & deliver

We build and ship in the open, with checkpoints and your team alongside, never a black box.

04

Operate & hand over

We harden, document, and hand over. Your team owns it, with managed support where you want it.

The outcomes

Results you can measure.

94%

Answer accuracy

measured, not assumed

100%

Cited responses

verifiable every time

no drift

Quality holds

continuous evaluation

Who it's for

Built around your starting point.

Customer support

Support

Answer from your help center accurately, with citations.

Employees

Internal knowledge

Let staff ask your policies and docs and trust the answer.

In-product Q&A

Product

Ground product assistants in your real documentation.

By industry

RAG & Knowledge Systems for your industry

Deep-dive pages with sector-specific use cases, delivery steps, and FAQs.

Tools we work with

PineconeWeaviatepgvectorElasticsearchConfluenceSharePointSnowflakeOpenAI / Anthropic
Questions

Frequently asked.

Answers are grounded in your retrieved documents and cited to them, and faithfulness is measured continuously to catch drift.

Ground your AI in your own data

Book a working session and we'll map RAG & Knowledge Systems to your operation, then move fast.