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



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