John (Senior Backend Engineer)
Active Brains: Agent Persona + Platform Squad + Cross-Backend + Global Org
RAG Engine: pgvector + FuzeInfra Neo4j
🔍 Step 1: Hierarchical Parallel Fetching
4 TIERS IN PARALLEL (pgvector)
Tier 4: Agent Brain brain_agent_python_dev 3 hits • max: 0.94 score
Tier 3: Team Brain brain_team_platform 2 hits • max: 0.87 score
Tier 2: Cross-Functional brain_cross_backend 4 hits • max: 0.96 score
Tier 1: Global Org brain_org_global 2 hits • max: 0.89 score
🕸️ Step 2: Neo4j GraphRAG 2-Hop Traversal
BOLT: 7687 (FUZEINFRA)
(FastAPI:Service) -[:CONNECTS_VIA]-> (asyncpg_pool:Component) -[:AUTHENTICATES_TO]-> (PostgreSQL:Database)
(PostgreSQL:Database) -[:ENFORCES]-> (ZeroTrustPolicy:Rule) -[:AUTHORED_BY]-> (GlobalSecurityTeam:Org)
⚡ Step 3: Reciprocal Rank Fusion & Token Distillation
3,420 / 4,000 TOKENS (BUDGET FIT)
Merged 11 chunk embeddings with 2 graph traversal paths. Deduplicated overlapping snippets, prioritized agent-level coding conventions, and compressed context into 3,420 tokens.
✅ Context Ready! (Total Latency: 284ms • Confidence Score: 96.8%)
Review · fuzeagent-chat-streaming approve or reject each flow ↓
01-chat-streaming-la-timeapproved
02-contextual-themeapproved
03-active-sandboxes-teardownapproved
04-standalone-chat-windowapproved
04-deploy-agent-modalapproved
05-templates-blueprints-hubapproved
05-multimodal-s3-resumable-uploaderapproved
06-task-assignment-orchestrationapproved
06-enlightening-multitier-context-pipelineapproved
07-agent-persona-and-avatar-studioapproved