LlamaIndex
Definition
Data framework for connecting LLMs to external data through indexes, query engines, and retrieval pipelines. Optimized for RAG (Retrieval-Augmented Generation) and data-augmented generation. LlamaIndex ensures agents have the right context — it does not ensure agents act on it safely.
Why It Matters
RAG quality is a retrieval problem. Action safety is a governance problem. A correctly retrieved document can still lead to a destructive tool call. The context was correct — the action was harmful. These are different failure modes requiring different solutions.
How Exogram Addresses This
Exogram sits at the end of the RAG pipeline — after LlamaIndex retrieval, after model reasoning, before execution. It validates the action, not the context. Both matter.
Related Terms
medium severityProduction Risk Level
Key Takeaways
- → This concept is part of the broader AI governance landscape
- → Production AI requires multiple layers of protection
- → Deterministic enforcement provides zero-error-rate guarantees