The AI Evolution of Graph Search at Netflix
Netflix is enhancing its Graph Search platform by integrating AI and Large Language Models to enable natural language queries, improving user experience and efficiency in navigating complex data sets.
MAIN POINTS
- Netflix's Graph Search platform is transitioning from structured queries to natural language using AI.
- Large Language Models (LLMs) facilitate the conversion of natural language into Graph Search Filter DSL.
- The process involves context engineering, using controlled vocabularies and field RAG for query accuracy.
- Validation and user-friendly interfaces ensure syntactic, semantic, and pragmatic correctness of generated queries.
TAKEAWAYS
- Natural language search reduces user friction and enhances accessibility across Netflix's enterprise systems.
- AI integration allows for more intuitive and efficient data filtering and retrieval.
- Contextual engineering and validation are crucial for accurate query generation.
- Future developments aim to expand platform capabilities and improve performance in production environments.