What is a RAG chatbot?

A retrieval-augmented chatbot that reads your documentation in real time and grounds every answer in cited source text. It answers questions no one scripted and refuses to invent facts outside your knowledge base.

Where can it be deployed?

Web widget, Slack bot, Microsoft Teams bot, or internal portal. One agent, one knowledge base, wired to wherever your customers and team ask questions.

How do you stop hallucinations?

Adversarial prompt testing before launch, strict retrieval-only grounding, citation on every answer, and a refusal path for out-of-scope questions. We test against edge cases your compliance team will ask about.

Feature · F04

RAG Chatbots.

Cited, guardrailed, launch-tested

Retrieval-augmented agents grounded in your documents, products, and policies, the kind your compliance team will actually sign off on. Every answer cites its source, every out-of-scope question is refused instead of improvised, and every deployment passes 50+ adversarial prompts before it ever sees a customer.

Ships · 14–21 daysStack · Claude · Pinecone · Supabase pgvector +2Runs on · your infrastructure

A real chat with a deployed agent. Every claim hyperlinked to the source it came from.

You

Customer, 09:42

Does my HSA contribution limit change if I enroll in Medicare mid-year?

Grounded answer, 1.8s

Yes. Once you enroll in Medicare, you are no longer HSA-eligible, so your annual contribution is prorated based on the number of full months you were eligible before enrollment.¹ For 2026, the self-only limit is $4,300 and the family limit is $8,550, which means if you enroll in July your pro-rated limit is half of those figures.² Contributions made beyond that prorated limit are treated as excess and subject to a 6% excise tax each year until withdrawn.³

Sources cited

[1]IRS Publication 969 (2026 ed.)

Section: HSAs · pp. 4-6

[2]Firm HSA policy, Medicare crossover

Internal compliance wiki · v3.2

[3]IRS Form 8889 instructions

Section: excess contributions

Inside the decision

What happens when the agent isn’t sure.

How the agent decides to answer or escalate. Both checks have to pass before it speaks.

inputInbound question

Decision

Answer grounded + confidence ≥ 0.85?

YesNo / out of scope

actionCite the source

actionReply inline

outputLog to CRM

actionRefuse, don’t improvise

actionHand off with transcript

outputNotify human on-call

What's in the box

What we ship into the agent.

Six concrete things that separate a grounded, compliant agent from a demo-day chatbot.

Guardrails before answers

Topic filters, refusal templates, and region-aware rules. PII redaction, HIPAA-safe configurations, and every prompt logged for audit. Compliance-ready before launch, not as a patch.

ClaudeFilters

Grounded in your docs

PDFs, wikis, product catalogs, and policies chunked and embedded to Pinecone or Supabase pgvector. Re-indexes when source material changes, no stale answers.

PineconeSupabase

Every answer cites

Inline citations the user can click through to the source document. If it isn’t in the docs, the agent says so. No improvisation, no hallucinated policies.

ClaudeOpenAI

Clean human handoff

On frustration, low confidence, or out-of-scope asks, the agent hands off with the full transcript and a reason for the handoff. The human never starts blind.

ZendeskIntercom

Multi-turn reasoning

Maintains context across turns and chains tool calls for live lookups, calendar, CRM, order status, without dropping the thread.

LangGraphClaude tools

One agent, every channel

Same agent and knowledge base to web, WhatsApp, Slack, Intercom, and voice. One source of truth, six channels, zero drift between them.

TwilioVAPI

Integrations

Where this runs.

Vector & models

10+

PineconeSupabaseWeaviateQdrantClaudeOpenAI

Channels & CRM

20+

IntercomZendeskFreshdeskWhatsAppSlackHubSpot

Pipeline

Under the hood, a query looks like this.

Ingest

Embed

Retrieve

Reason

Cite

Ingest

Embed

Retrieve

Reason

Cite

Also seen here

IVCustomer SupportUnder 2s response across web, SMS, email, WhatsApp, and voice.VAfter-Hours CoverageOvernight email triage. One morning report at 7 AM.

Next step

Scope this build.

Tell us the stack you want this wired to. We'll come back with the scope, the timeline, and, if the math doesn't work, say so before you sign anything.

Scope this build

Frequently asked questions

: A retrieval-augmented chatbot that reads your documentation in real time and grounds every answer in cited source text. It answers questions no one scripted and refuses to invent facts outside your knowledge base.
: Web widget, Slack bot, Microsoft Teams bot, or internal portal. One agent, one knowledge base, wired to wherever your customers and team ask questions.
: Adversarial prompt testing before launch, strict retrieval-only grounding, citation on every answer, and a refusal path for out-of-scope questions. We test against edge cases your compliance team will ask about.