Parallel Task Execution With Result Aggregation

via “parallelization pattern for concurrent task execution with result aggregation”

Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.

Unique: Implements parallelization as a first-class workflow pattern with explicit result aggregation logic, rather than simply launching tasks concurrently, enabling structured combination of parallel outputs with conflict resolution and ranking.

vs others: Reduces latency compared to sequential execution by leveraging parallelism, and provides more control than simple concurrent execution by implementing explicit aggregation strategies tailored to task semantics.