Directory Contents
# The Adam Omni-Graph # Adam Omni-Graph This directory contains the data layer for Adam v23.5. ## Structure - **constellations/**: Tier 1 - Breadth (Sector-wide light data) - **dossiers/**: Tier 2 - Depth (Deep Dive Profiles) - **templates/**: Tier 3 - Archetypes (Abstract templates) - **relationships/**: The Edges (Supply Chain, Competitors) # The Adam Omni-Graph (v23.5 Data Layer) **Strategic Goal:** Move Adam v23.5 from a "Proof of Concept" to a "Platform" by establishing a "Golden Source" Universe. This structured Data Layer acts as the system's "Knowledge Graph," providing a rich library of pre-computed profiles and relationships. This allows the UI to look densely populated (breadth) while enabling deep simulations on specific entities (depth). ## Tiered Data Architecture The data is organized into three tiers to balance performance and depth: ### Tier 1: The Constellations (Breadth) * **Purpose:** Populate the visual graph (e.g., 3D webapp) with lightweight nodes. * **Content:** Name, Ticker, Sector, Market Cap, Relationship to Hero. * **Location:** `constellations/` ### Tier 2: The Hero Dossiers (Depth) * **Purpose:** Serve as "Ground Truth" for "Deep Dive" demonstrations. These are full v23.5 Schema-compliant JSONs that act as pre-computed runtime results. * **Content:** Full entity ecosystem, equity analysis, credit analysis, simulation engine results. * **Location:** `dossiers/` ### Tier 3: The Archetypes (Templates) * **Purpose:** Instantly generate new, realistic dummy companies for simulations. * **Content:** Abstract templates (e.g., "SaaS_Growth_HighBeta") with defined financial profiles and risk factors. * **Location:** `templates/` ## Relationships (Edges) * **Purpose:** Define the connections between entities (e.g., supply chains, competitors). * **Location:** `relationships/` ## Usage Use the `scripts/load_omni_graph.py` utility to ingest these JSON files into a NetworkX or Neo4j graph object at runtime.