Knowledge-Base Guardrail

High AI Agent system

A retrieval layer that keeps an agent answering only from approved, current source material. It grounds responses in a curated knowledge base, cites what it used, and refuses or escalates when the answer is not covered, so the agent stops improvising facts about pricing, policy, or availability.

Timeline 1-2 weeks

HMX Zone

ai agent system

High Agents system

Verified HMX-owned system details.

Timeline
1-2 weeks
Visual motif
Reasoning orbit
Live datum
A message is classified, noted, then handed to a human when needed.
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operating facts

Outcome

Factual answers stay accurate and on-policy, with a clear trail of which source backed each reply.

Main risk

The agent answers from model memory when retrieval returns nothing relevant, producing confident wrong facts.

Prevention

Treat empty/low-score retrieval as 'unknown', forbid unsourced factual claims, and version content so stale answers are caught.

Fallback

Return the fallback answer and route to a human (or capture the question) when the knowledge base does not cover it.

system architecture

Knowledge-Base Guardrail Architecture

Curate and chunk the
a retrieval tool the agent
OpenAI
Vapi
Human Escalation
Agent Handoff
  1. 01Curate and chunk the

    A retrieval layer that keeps an agent answering only from approved, current source material.

  2. 02a retrieval tool the agent

    Add a retrieval tool the agent must call before answering factual questions

  3. 03OpenAI

    OpenAI runs the bounded conversation step for Knowledge-Base Guardrail while keeping tool use, transcripts, and escalation outcomes explicit.

  4. 04Vapi

    Instrument grounding: require the answer to be supported by retrieved chunks or trigger a no-answer path

  5. 05Human Escalation

    Return the fallback answer and route to a human (or capture the question) when the knowledge base does not cover it.

  6. 06Agent Handoff

    Factual answers stay accurate and on-policy, with a clear trail of which source backed each reply.

how it is built

  1. 01Curate and chunk the approved source content into a vector store with freshness/version metadata
  2. 02Add a retrieval tool the agent must call before answering factual questions
  3. 03Instrument grounding: require the answer to be supported by retrieved chunks or trigger a no-answer path
  4. 04Log every answer with the sources used and review low-coverage questions to grow the base

architecture notes

Architecture overview

Knowledge-Base Guardrail uses a bounded agent handoff layer for AI Agents. A retrieval layer that keeps an agent answering only from approved, current source material. The architecture connects curate and chunk the, openai, vapi, and agent handoff with an explicit control path.

  • Conversation layer: Curate and chunk the approved source content into a vector store with freshness/version metadata
  • Reasoning layer: Add a retrieval tool the agent must call before answering factual questions
  • Tools layer: OpenAI runs the bounded conversation step for Knowledge-Base Guardrail while keeping tool use, transcripts, and escalation outcomes explicit.
  • Records layer: Vapi connects calls, messages, calendar work, or CRM writes while treat empty/low-score retrieval as 'unknown', forbid unsourced factual claims, and version content so stale answers are caught.
  • Escalation layer: Factual answers stay accurate and on-policy, with a clear trail of which source backed each reply.

Data flow

  1. Curate and chunk the approved source content into a vector store with freshness/version metadata
  2. Add a retrieval tool the agent must call before answering factual questions
  3. Instrument grounding: require the answer to be supported by retrieved chunks or trigger a no-answer path
  4. Log every answer with the sources used and review low-coverage questions to grow the base

Controls and fallbacks

  • The agent answers from model memory when retrieval returns nothing relevant, producing confident wrong facts.
  • Treat empty/low-score retrieval as 'unknown', forbid unsourced factual claims, and version content so stale answers are caught.
  • Return the fallback answer and route to a human (or capture the question) when the knowledge base does not cover it.

Tools

  • OpenAI
  • Vapi
  • Retell
  • GoHighLevel

research basis

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