Every decision from the v1 briefing was confirmed by Skip. The architecture is validated and ready for implementation sprint planning.
The v1 briefing listed conversation memory as a deferred enhancement priority. Skip confirms this is already implemented — the 5 most recent messages/turns are included in retrieval context via Redis session state. This corrects the v1 specification and removes conversation memory from the enhancement backlog.
Redis session persistence is active. Each query includes the 5 most recent conversational turns, enabling context-aware retrieval and response generation. The session state informs intent classification confidence and provides continuity across multi-turn interactions.
What: Pre-warm database connections on service startup plus periodic keepalive to maintain warm connection pools.
Why: Railway's ephemeral containers can go idle. When a container has been idle, the first user request incurs a cold-start penalty as database connections are re-established. Connection pool warming is the confirmed #1 latency optimization target.
How: FastAPI startup event initializes connection pools for PostgreSQL/pgvector, Neo4j, and Redis. A background keepalive task periodically pings each connection to prevent idle timeout.
What: LangSmith tracing confirmed as sufficient for current observability needs.
Config: LANGSMITH_TRACING=true, project second-act-learning-v2
No additional tooling required at current scale. LangSmith provides trace-level visibility into LangGraph node execution, retrieval quality, and response generation latency.
All retrieval parameters are locked at their current values following v1 confirmation. No tuning required for implementation sprint.
| Parameter | Confirmed Value | Status |
|---|---|---|
PERSONA_RETRIEVAL_COUNT |
3 | Locked |
FALLBACK_THRESHOLD |
3 | Locked |
VECTOR_WEIGHT |
0.5 | Locked |
RRF_K |
60 | Locked |
MAX_RAG_RESULTS |
12 | Locked |
With conversation memory shipped, the next enhancement slot is open. The following candidates are ranked by estimated impact.
Sprint plan based on confirmed priorities. The next enhancement slot depends on v2 input.