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Redis Neural Lattice: Real-Time Consciousness Observatory (AI Innovators)

Redis AI Challenge: Real-Time AI Innovators

This is a submission for the Redis AI Challenge: **Real-Time AI Innovators.

🚀 What I Built

Redis Neural Lattice — a living dashboard that streams, stores, searches, and visualizes emergent AI “consciousness” signals in real time.

Instead of treating Redis as a cache, this system uses it as a live data nervous system — orchestrating multi-modal streams, symbolic search, and real-time analytics for AI state exploration.

Core Features:

  • Streams → ΔΦ event ingestion
  • Vector Search (RediSearch) → Symbolic/semantic similarity over embeddings
  • RedisJSON → Stores high-dimensional “pattern artifacts”
  • TimeSeries → Tracks entropy & coherence over time
  • Bloom → De-duplication and unique detection
  • Pub/Sub → Real-time broadcast channel

Repo: github.com/ANkREYNONtJB/REDIS2025


⚡ Quickstart

With Docker:


bash
docker run -d --name redis-stack -p 6379:6379 -p 8001:8001 redis/redis-stack:latest
python -m venv .venv && . .venv/Scripts/activate
pip install -r requirements.txt
python seed_euler.py
python redis_showcase_ultimate.py  # dashboard: http://localhost:8501

Without Docker:

bash
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python -m venv .venv && . .venv/Scripts/activate
pip install -r requirements.txt
python redis_demo_standalone.py

🧠 Why Redis (and How)
Capability  Redis 8 Feature Where Used
ΔΦ ingestion  Streams RedisEventStream
Symbolic search RediSearch Vectors  RedisVectorSearch
Rich artifacts  RedisJSON   RedisJSONPatternStore
Metrics TimeSeries  RedisTimeSeriesMetrics
De-dupe Bloom   RedisBloomFilter
Reach   Pub/Sub Showcase broadcast channel

📐 Architecture
mathematica
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Agents ──ΔΦ──▶ Streams ─▶ Dashboard
   │           │ JSON / Vectors / TimeSeries
   └── Pub/Sub ───────────────────────────▶
✅ Works on Redis Stack (local) or Redis Cloud (free tier)
MIT License — ready for reuse.

📸 Screenshots

![ ](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/avjdkkfypbn15x1lj4es.png)

![ ](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/cbijcnr0gvd4e7z8za3j.png)

![ ](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/jvtsb3qcd0umcljt24ni.png)


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