Speed & Streaming
The entire platform is now significantly faster. AI responses are 3x quicker with parallelized knowledge base queries, mobile streaming delivers responses in real-time, and server response times dropped by 60%.
We've completely rearchitected how Sharkforce processes AI requests. Every layer of the stack got faster — from the database queries that power the knowledge base, to the streaming infrastructure that delivers responses to your phone.
Knowledge Base Performance
Knowledge base queries now run in parallel instead of sequentially. When your AI Assistant needs to search across multiple document collections, it fires all queries simultaneously and merges the results. The result is a 3x improvement in AI response times.
- Parallelized vector search across document collections
- Batch embedding processing — upload 100 documents as fast as 10
- New pgvector HNSW index for sub-millisecond similarity search
- Query result caching with smart invalidation
Mobile Streaming
AI responses on mobile now stream token-by-token in real-time, just like desktop. No more waiting for the full response before seeing anything. The streaming connection is also more resilient to network interruptions — if you lose signal briefly, it reconnects and continues where it left off.
Server Optimizations
- Average API response time reduced by 60%
- Database connection pooling optimized for peak loads
- Static asset delivery via edge CDN
- Reduced cold start times for serverless functions