SEOCHO Design Philosophy & Operating Principles
Extract domain rules and high-value semantics from heterogeneous data into a SHACL-like semantic layer.
Extract domain rules and high-value semantics from heterogeneous data into a SHACL-like semantic layer.
A runnable SEOCHO usecase — declare a 6-entity compliance ontology, ingest six mock filings, and ask questions that cross regulator / incident / control / policy boundaries without writing Cypher.
Multi-role feasibility review framework and Go/No-Go rubric for graph data implementations.
Prompt: A hyper-realistic, 3D abstract representation of a “knowledge graph neural network” floating in a pitch-black void. The nodes are glowing with vibrant cyan and violet neon lights, connected by sleek, pulsating fiber-optic cables. High-end, sleek, Apple-style product rendering, cinematic lighting, glassmorphism elements, dark gray metallic details, very high resolution, 8k, octane render.
Prompt: A sleek 3D graphic showing a glowing data packet (representing a user query) traveling along a bright purple neon track, splitting into branching paths (representing different knowledge graphs). Dark mode, deep slate background, elegant tech aesthetic, depth of field, sharp focus, futuristic but clean and minimalist, neon edge lighting.
Prompt: Three glowing, crystalline orbs (representing AI agents) hovering around a glowing, central holographic document. The orbs emit subtle light beams (cyan, emerald, and rose pink) that intersect at the document. Pitch black background, premium tech startup aesthetic, subtle glassmorphic reflections on the ground, extreme detail, 3D render.
We are excited to announce a major update pushed to the SEOCHO main repository today, focusing heavily on runtime stability, reproducible quickstarts, and contributor experience.
If you are an external team or an open-source contributor looking to adopt the SEOCHO engine, this update is specifically designed for you.
We have completely overhauled our Quick Start guide to follow a strict, reproducible User Activation Critical Path.
Previously, setting up the graph and running the agents could be highly environmental. Moving forward, no architecture changes will be merged unless this exact user path functions flawlessly:
/platform/ingest/raw endpoint./indexes/fulltext/ensure API.make e2e-smoke automated test gate.This flow is the definitive acceptance criteria for our user-facing releases.
To support external teams adapting SEOCHO to real, proprietary domain data, we have published the Open Source Playbook.
This playbook serves as a direct extension guide, detailing exactly where to hook into the engine:
extraction/semantic_query_flow.py for custom dispatch logic.make test-integration, make e2e-smoke) that you must pass before expanding features.To ensure total transparency into the SEOCHO system’s next steps, we have published our current Priority Execution Board within the Architecture documentation.
P0 Priorities currently underway:
To experience the new stable routing and explore the updated CLI trace capabilities:
git pull origin mainmake e2e-smokeRead the full details in our updated Docs section.