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Platform base

RAG knowledge base so
Agents answer with evidence

Turn company intros, products, FAQs, cases, and scripts into searchable knowledge. Answers are grounded and citable—shared by all three growth Agents.

RAG Knowledge BaseCitable

Semantic retrieval

Customer: How long is implant warranty?

After-sales policy · implant warranty

Category · FAQ · Published

0.92

Product manual · implant line

Category · Product · Indexed

0.87

Clinic service SOP

Category · Service · Published

0.81

Agent answer

Per After-sales Policy, implant warranty depends on brand and plan…

Sources cited · fewer hallucinations

Why it matters

Without a knowledge base, AI answers drift

Models invent, messaging splits, sources vanish—business truth must live in a retrievable library.

Pain 01

Hallucinated answers

Generic models invent policies, prices, and processes without your docs.

Pain 02

Knowledge is scattered

Sites, PDFs, scripts, and product tables sit apart—Agents can’t retrieve one truth.

Pain 03

Inconsistent voice

Reception, sales, and support each answer differently.

Pain 04

No provenance

Leaders won’t trust answers they can’t trace to a document.

Pain 05

Three Agents, three silos

Content, acquisition, and conversion each hoard their own copy of the facts.

How it works

Ingest · index · retrieve · cite

Business docs enter the library and get indexed; Agents retrieve snippets and cite source titles in answers.

01

Collect sources

Manual docs, or sync from org, products, sales scripts, and marketing content.

02

Categorize & publish

Intros, FAQ, cases, and more—published docs become searchable.

03

RAG retrieve

Agents pull relevant snippets into grounded context.

04

Cite sources

Show hit titles with answers; never pretend a miss came from the KB.

Capabilities

One knowledge base for the whole growth stack

From document governance to RAG retrieval to shared use across Agents—enterprise knowledge as a platform layer.

Multi-source ingest

Centralize company knowledge

Manual documents plus sync from organization, products, sales scripts, and marketing content—less duplicate upkeep.

  • Categories for intro / FAQ / cases / products
  • Draft · published · archived controls
  • Multi-source sync, less copy-paste

Ingest

Company intro publishedIntro
Products syncedProduct
Script source linkedScripts
RAG retrieval

Ask, retrieve, answer grounded

Semantic search finds relevant snippets so Agents answer from your business knowledge—not thin air.

  • Semantic search over business docs
  • Snippets injected into answer context
  • Fits your wording over time

RAG retrieve

3 relevant snippetsHit
Context injectedGrounded
Multi-model readyEngine
Provenance & control

Visible sources, fewer hallucinations

Answers can show source titles; clear messaging when nothing matches—no fake “from the knowledge base”.

  • Source titles on answers
  • Honest empty results
  • Fit for compliance reviews

Provenance

Answer shows doc titlesSource
Clear empty-hit messageSafe
Drafts not searchableGovern
Works with scripts

Scripts for humans, KB for Agents

The script library helps reps copy wording; the knowledge base powers Agent retrieval—complementary, with optional script sync into the KB.

  • Scripts can sync as a knowledge source
  • Humans and Agents each get the right tool
  • One enterprise voice

With scripts

Scripts for human copyFrontline
KB for Agent retrieveAI
One enterprise voiceSync

Use cases

When Agents must answer from your docs

Complex policies, large catalogs, or teams that need one shared truth should build the KB first.

AI reception & Q&A

Acquisition and conversion need answers grounded in real policy and product facts.

Complex catalogs

Many plans, stores, and packages—generic models can’t keep them straight.

Compliance & audit

Leadership requires answers traceable to source documents.

Shared across Agents

Content, growth, and deal teams shouldn’t each maintain a separate “source of truth”.

Outcomes

Steadier Agents, aligned messaging, reusable knowledge

Turn scattered files into a searchable asset all three Agents can share.

01

Lower hallucination risk in Q&A

02

More consistent reception and close messaging

03

Answers with sources for audit

04

Less duplicate knowledge upkeep

05

Pairs with scripts and AI Agents

Works together

A base layer all three Agents consume

Content deposits marketing assets, growth retrieves for reception, deal cites knowledge to close—RAG is shared infrastructure, not a fourth Agent.

Ground your Agents with a RAG knowledge base

Ingest, index, retrieve, cite—one base for content, acquisition, and conversion.