Why Multimodal: The Case for a Shared Space Across Video, Image, and Text
The foundational case for searching content by what it looks like rather than what someone wrote about it.
By KINETK Team
Building a Multimodal Knowledge Graph for the Autonomous Internet
How Kinetk combines multimodal vector search with a structured graph of creators, communities, and narratives to give AI agents a queryable map of the social web.
By KINETK Team
Detecting Narratives Before They Become Obvious
Detecting emerging movements with creator diversity, platform spread, and structure-aware scoring rather than raw volume.
By KINETK Team
Beyond Vector Search: Reranking Social Content with Real-World Signals
Combining query expansion, reciprocal rank fusion, and signal-weighted reranking to make vector search useful for agents.
By KINETK Team
Designing a Resumable Serverless Sync Pipeline
Continuous, idempotent, observable sync from raw scan events into a queryable knowledge graph.
By KINETK Team
From Raw Scans to KG-Ready Metadata
The schema and entity model behind Kinetk's intelligence layer.
By KINETK Team