diff --git a/README.md b/README.md
index 6c8f03d7..b3c5e41b 100644
--- a/README.md
+++ b/README.md
@@ -121,168 +121,7 @@ If Semantica solves a real problem for you, a star helps others find it.
 
 Semantica does not replace your LLM or your vector store — it adds the structured intelligence and accountability layer they cannot provide.
 
----
 
-## Architecture
-
-```mermaid
-flowchart TB
-    classDef src     fill:#1e3a5f,stroke:#2563eb,color:#fff
-    classDef ingest  fill:#064e3b,stroke:#059669,color:#fff
-    classDef extract fill:#1e1b4b,stroke:#7c3aed,color:#fff
-    classDef proc    fill:#3b1313,stroke:#dc2626,color:#fff
-    classDef store   fill:#1c1917,stroke:#d97706,color:#fff
-    classDef app     fill:#0f172a,stroke:#0ea5e9,color:#fff
-    classDef out     fill:#1a1a2e,stroke:#e879f9,color:#fff
-    classDef access  fill:#14532d,stroke:#4ade80,color:#fff
-    classDef consume fill:#27272a,stroke:#a1a1aa,color:#fff
-
-    %% ── Data Sources ─────────────────────────────────────
-    subgraph SRC["  Data Sources"]
-        direction LR
-        S1["PDF · DOCX · HTML · TXT"]:::src
-        S2["APIs · Feeds · Streams"]:::src
-        S3["SQL · Parquet · Snowflake"]:::src
-        S4["Git Repos · Email · MCP Servers"]:::src
-    end
-
-    %% ── ① Ingestion ──────────────────────────────────────
-    subgraph ING["① semantica.ingest"]
-        direction LR
-        I1[FileIngestor]:::ingest
-        I2[WebIngestor]:::ingest
-        I3[DBIngestor]:::ingest
-        I4[ParquetIngestor]:::ingest
-        I5[StreamIngestor]:::ingest
-        I6[EmailIngestor]:::ingest
-        I7[RepoIngestor]:::ingest
-    end
-
-    %% ── ② Extraction ─────────────────────────────────────
-    subgraph EXT["② semantica.semantic_extract"]
-        direction LR
-        E1[NERExtractor]:::extract
-        E2[RelationExtractor]:::extract
-        E3[EventDetector]:::extract
-        E4[TripletExtractor]:::extract
-    end
-
-    %% ── ③ Processing ─────────────────────────────────────
-    subgraph PROC["③ semantica.pipeline  ·  semantica.deduplication"]
-        direction LR
-        P1[PipelineBuilder]:::proc
-        P2[ExecutionEngine]:::proc
-        P3[DuplicateDetector]:::proc
-        P4[EntityMerger]:::proc
-    end
-
-    %% ── ④ Intelligence Stores ────────────────────────────
-    subgraph KG["④a semantica.kg"]
-        direction LR
-        K1[GraphBuilder]:::store
-        K2[GraphAnalyzer]:::store
-        K3[BiTemporalFact]:::store
-    end
-
-    subgraph VS["④b semantica.vector_store"]
-        direction LR
-        V1["FAISS · Qdrant · Weaviate\nPinecone · Milvus · PgVector"]:::store
-        V2[HybridSearch]:::store
-    end
-
-    subgraph GS["④c semantica.graph_store"]
-        direction LR
-        G1[Neo4j]:::store
-        G2[FalkorDB]:::store
-        G3[Apache AGE]:::store
-        G4[Amazon Neptune]:::store
-    end
-
-    subgraph ONT["④d semantica.ontology"]
-        direction LR
-        O1[OntologyGenerator]:::store
-        O2[OntologyValidator]:::store
-        O3[SHACL Studio]:::store
-    end
-
-    subgraph PROV["④e semantica.provenance"]
-        PR1["ProvenanceManager\nW3C PROV-O · Audit Log"]:::store
-    end
-
-    %% ── ⑤ Application ────────────────────────────────────
-    subgraph CTX["⑤a semantica.context"]
-        direction LR
-        C1[ContextGraph]:::app
-        C2[AgentContext]:::app
-        C3["Decision Intelligence\nrecord · trace · impact · rules"]:::app
-    end
-
-    subgraph RSN["⑤b semantica.reasoning"]
-        direction LR
-        R1[ReteEngine]:::app
-        R2[DatalogReasoner]:::app
-        R3[ForwardChainer]:::app
-    end
-
-    %% ── ⑥ Output ─────────────────────────────────────────
-    subgraph EXP["⑥a semantica.export"]
-        direction LR
-        X1["RDFExporter\nTurtle · JSON-LD · N-Triples"]:::out
-        X2[ParquetExporter]:::out
-        X3["LPGExporter\nCypher · AQL"]:::out
-        X4[JSONExporter]:::out
-    end
-
-    subgraph VIZ["⑥b semantica.visualization  ·  explorer/"]
-        direction LR
-        W1[KGVisualizer]:::out
-        W2[OntologyVisualizer]:::out
-        W3[EmbeddingVisualizer]:::out
-        W4["Knowledge Explorer\nReact 19 · Sigma.js"]:::out
-    end
-
-    %% ── ⑦ Access Layer ───────────────────────────────────
-    subgraph ACC["⑦ Access"]
-        direction LR
-        A1["MCP Server\n12 tools"]:::access
-        A2["REST API\n109 endpoints"]:::access
-        A3["CLI\n50+ commands"]:::access
-        A4["Plugin Bundles\n8 editors · 17 skills · 3 agents"]:::access
-    end
-
-    %% ── Consumers ────────────────────────────────────────
-    subgraph CON["Your AI Stack"]
-        direction LR
-        CN1["Agno · LangChain\nCrewAI · AutoGen · OpenAI Agents"]:::consume
-        CN2["Claude Code · Cursor · Codex\n17 skills · 3 agents per editor"]:::consume
-        CN3["Windsurf · Cline · Continue\nVS Code · OpenClaw"]:::consume
-        CN4["GitHub Copilot · Amazon Q\nRoo Code · Aider · Zed"]:::consume
-    end
-
-    %% ── Data Flow ────────────────────────────────────────
-    SRC  --> ING
-    ING  --> EXT
-    EXT  --> PROC
-    PROC --> KG
-    PROC --> VS
-    PROC --> ONT
-    PROC --> PROV
-    GS   --> KG
-    KG   --> CTX
-    VS   --> CTX
-    ONT  --> CTX
-    PROV --> CTX
-    KG   --> RSN
-    VS   --> RSN
-    CTX  --> EXP
-    CTX  --> VIZ
-    CTX  --> ACC
-    RSN  --> EXP
-    RSN  --> ACC
-    ACC  --> CON
-    VIZ  --> CON
-    EXP  --> CON
-```
 
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