Redis

Agent Gateway interacts with Redis as part of the backend ecosystem for caching and background jobs. theo server uses Redis as job queue to manage extraction and batch vectorize jobs for document chunks. theo server uses Redis as job queue to manage extraction and batch vectorize jobs for document chunks. The DataLens Platform integrates with Redis 7 for future use with background jobs and caching. DataLens Platform uses Redis as a future component for background jobs and caching. RQ workers depend on Redis for job queue management. The Backend uses Redis as a backing store for the RQ job queue system. Redis functions as the queue backend supporting the RQ worker processing extraction jobs. The Data Discovery system uses Redis for job queue management and caching. The RQ job queue depends on the Redis service for managing asynchronous job scheduling and processing. Redis provides the backend queue for the RQ worker in the extraction pipeline. The SSE progress endpoint integrates with Redis pub/sub for real-time progress streaming.