Hybrid, Graph, & Corrective RAG: Building Trustworthy AI Systems
Hybrid, Graph, & Corrective RAG. Get it right, and you build AI systems that scale, explain, validate, and remain traceable under pressure, the foundations of trust in intelligent and autonomous systems.
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Hybrid, Graph, & Corrective RAG. Get it right, and you build AI systems that scale, explain, validate, and remain traceable under pressure, the foundations of trust in intelligent and autonomous systems.
RAG is not a single tool but a family of strategies.
- Hybrid delivers richer context through layered retrieval.
- Graph captures the relationships that give answers meaning.
- Corrective adds resilience, detecting inconsistencies and validating claims in real time.
Together, they move us beyond demos to systems that are defensible in enterprise and safe in human-critical domains.
That is why OS Mission is built on retrieval done right, anchored by the Open Code Data Protocol and Lumens with cryptographic provenance on-chain.
Trust is no longer a matter of faith; it becomes explicit, verifiable, and provable at every stage.
