The Encoder Model is a machine learning component responsible for the first step in Google’s sophisticated two-step process used to answer natural language questions via the Knowledge Graph. This first step is specifically designated as “Build and Maintain KG”.
The function of the Encoder Model involves continuously processing data, ensuring the Knowledge Graph is structurally sound, current, and enriched with factual information, often derived from sources like web pages and structured databases. This preparation is crucial because the accuracy and breadth of the KG directly influence the output quality of the second step.
Once the Knowledge Graph is built and maintained by the Encoder, the subsequent query processing is handled by the Programmer Model. This clear division of labor separates the data ingestion, validation, and structuring (Encoder) from the real-time query translation and execution (Programmer).