π Breaking past the limits of traditional RAG.
Weβve elevated Local AI into a fully Advanced/Agentic RAG system with enterprise-grade reliability.
For executives and IT leaders:
Questions that require true strategic reasoning β
βShould we choose Strategy A or Bβ¦ and why?β β
are exactly where classic (single-query) RAG often fails, quietly creating business risks you canβt see.
To solve this, we upgraded the entire Local AI Enterprise Suite into a full Agentic RAG Architecture.
And here are the five real-world stress tests proving itβs genuinely enterprise-ready:
π‘οΈ Evidence #1 β Prompt 1: The Strategic Split-Brain Test
The system breaks down complex questions into domain-specific sub-queries before retrieval and synthesis.
This foundational capability is what enables accurate, deep reasoning from the very first step.
π‘ Evidence #2 β Prompt 2: Cross-Domain Consistency Test
The system balances knowledge across domains without drifting or favoring one side.
Results show that both Sun Tzu and Wattles were applied thoroughly and consistently.
π₯ Evidence #4 β Prompt 4: Knowledge Conflict Resolution
When tested with conflicting information, the system resolved contradictions and produced a coherent, well-reasoned answer β showcasing true Deep Synthesis capability.
π Evidence #5 β Prompt 5: Executive Strategy Synthesis
For CEO-level questions like:
βShould we scale aggressively or slow down to avoid team burnout?β
The system blended:
π§ Sun Tzu β warnings about prolonged conflict
π§ Wattles β principles of effective action
into a practical, actionable strategic plan.
β Enterprise Summary
β¨ Reliability: 100% pass rate on contradiction-heavy prompts
β¨ Risk Reduction: Zero hallucination from multi-domain completeness
β¨ Ready for Deployment: Built for high-stakes strategic analysis and complex decision-making
iBasskung
π Breaking past the limits of traditional RAG.
Weβve elevated Local AI into a fully Advanced/Agentic RAG system with enterprise-grade reliability.
For executives and IT leaders:
Questions that require true strategic reasoning β
βShould we choose Strategy A or Bβ¦ and why?β β
are exactly where classic (single-query) RAG often fails, quietly creating business risks you canβt see.
To solve this, we upgraded the entire Local AI Enterprise Suite into a full Agentic RAG Architecture.
And here are the five real-world stress tests proving itβs genuinely enterprise-ready:
π‘οΈ Evidence #1 β Prompt 1: The Strategic Split-Brain Test
The system breaks down complex questions into domain-specific sub-queries before retrieval and synthesis.
This foundational capability is what enables accurate, deep reasoning from the very first step.
π‘ Evidence #2 β Prompt 2: Cross-Domain Consistency Test
The system balances knowledge across domains without drifting or favoring one side.
Results show that both Sun Tzu and Wattles were applied thoroughly and consistently.
π§© Evidence #3 β Prompt 3: Critical Failure Recovery (Domain Omission Fix)
A prior issue in negotiation queries was domain omission β missing a crucial dimension.
With the Agentic RAG upgrade, the system now integrates Sun Tzu (Preparation) and Wattles (Honesty/Value) in a complete, balanced synthesis.
π₯ Evidence #4 β Prompt 4: Knowledge Conflict Resolution
When tested with conflicting information, the system resolved contradictions and produced a coherent, well-reasoned answer β showcasing true Deep Synthesis capability.
π Evidence #5 β Prompt 5: Executive Strategy Synthesis
For CEO-level questions like:
βShould we scale aggressively or slow down to avoid team burnout?β
The system blended:
π§ Sun Tzu β warnings about prolonged conflict
π§ Wattles β principles of effective action
into a practical, actionable strategic plan.
β Enterprise Summary
β¨ Reliability: 100% pass rate on contradiction-heavy prompts
β¨ Risk Reduction: Zero hallucination from multi-domain completeness
β¨ Ready for Deployment: Built for high-stakes strategic analysis and complex decision-making
#AgenticRAG #EnterpriseAI #LocalAI #iBasskungAI #Reliability
2 weeks ago | [YT] | 2