Architecture
System Architecture
A high-level view of how the interface, backend search endpoint, Twelve Labs embeddings, and Qdrant retrieval connect across the recommendation pipeline.
Architecture & Workflow
A dedicated view of how the content recommendation system indexes video, interprets user intent, and returns meaningful results through semantic retrieval.
Video Understanding
Videos are embedded with Twelve Labs so the platform understands more than titles or keywords.
Vector Retrieval
Embeddings and metadata are organized in Qdrant for fast semantic search across the catalog.
Intent-Based Search
User queries are matched against the indexed content to return more relevant recommendations.
Workflow
Recommendation Workflow
A cleaner look at how videos are indexed, how preferences are translated into embeddings, and how relevant content is returned to the user.
Explore The Product
See the recommendation experience in action
Move from the system blueprint into the live discovery flow and explore how the recommendation engine behaves with real prompts.