Static RAG retrieves from documents that were indexed at some earlier point; live agent context pulls from the working state of the system at the moment the question is asked.
Live Agent Context vs Static RAG
Streams from reality vs snapshots of reality.
Static RAG retrieves from documents that were indexed at some earlier point; live agent context pulls from the working state of the system at the moment the question is asked.
Static RAG is a common starting point — index PDFs, split them into chunks, retrieve by embedding similarity, stuff the result into the prompt. The failure mode is staleness: the menu changes, the index doesn't, and the agent hallucinates yesterday's dish.
AGNT keeps knowledge packs live. Every VenueChunk is indexed at ingestion time, but availability, hours, and user memory are pulled from the hot database on every turn. Semantic recall is combined with structural keys so the agent is always answering from the current state, not from a snapshot.
| Axis | Live Agent Context | Static RAG |
|---|---|---|
| Freshness | Real time | Snapshot at index time |
| Memory layer | pgvector + structural keys | pgvector only |
| Update cadence | On write | On re-index |
| Staleness risk | Near zero | High |
| Complexity | Higher (live reads) | Lower (batch) |
Use live context when
- The underlying data changes daily or faster.
- Hallucinating stale facts has user-visible cost.
Use static RAG when
- The corpus is genuinely static (reference manuals, laws, historical data).
- You need the simplest possible retrieval path.
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FAQ
Live Agent Context vs Static RAG FAQ.
Common questions about choosing between Live Agent Context and Static RAG.
Static RAG retrieves from documents that were indexed at some earlier point; live agent context pulls from the working state of the system at the moment the question is asked.
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