A hybrid AI collaboration platform

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

What I Built

I built AI Chat Collaboration Platform, a hybrid AI workspace designed for organizations that need the privacy of local models and the scaling power of cloud AI — all in one seamless, real-time collaboration tool.

Demo

video: https://youtu.be/TEDHneyQJ5M

https://demo-app.automatmx.cloud/

How I Used Redis 8

Redis 8 is the heart of the application — not just a cache, but a real-time state server that enables hybrid AI collaboration with both local and cloud models.

1. Field-Level Expiration for Intelligent Caching

• Used HSETEX, HGETEX, and HGETDEL to set **per-field

2. Real-Time Collaboration Infrastructure

• Pub/Sub Channels:
  • chat:messages → Messages, edits, deletions
  • chat:typing → Typing indicators
  • chat:presence → Join/leave events
• Redis Streams for event sourcing (typing events, cursor tracking, and audit logs) with automatic trimming.
• Presence Tracking with hash-based activity logs (5-min expiration).

3. Distributed Locking & Race Condition Prevention

• PX-millisecond locks ensure only one user can edit a resource at a time.
• Ownership validation to avoid overwriting others’ changes.

4. Performance & Security Optimizations

• Message Deduplication → 60-second dedup window to avoid double-processing.
• Rate Limiting → IP-based throttling for share link access (10/hour/IP).
• Cache Warming → Frequently accessed files are preloaded in cache for instant retrieval.

5. Future-Ready Vector Search

• Embedding storage structure is ready for Redis 8 vector similarity search.
• Will enable semantic retrieval over uploaded documents once feature is stable.

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Why Redis 8 Was Essential

• Granular control → Different TTLs for different file components.
• Atomic operations → Safe one-step reads/deletes and distributed lock handling.
• Scalable real-time updates → Pub/Sub enables horizontal scaling across multiple app servers.
• Future-proof → Same Redis 8 data layer will power AI semantic search later without a redesign.
• Privacy + Power → Secure local AI for sensitive data, cloud AI for on-demand scaling.

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