advanced-memory-architect

Tune Qdrant memory by configuring hybrid search weights, enabling MMR diversity, and setting temporal decay schedules. This optimizes retrieval pipelines to improve recall, reduce latency, and balance memory diversity for production-grade agent architectures.

Temporal decay in vector search memory systems configures memory half-lives to favor recent information and age older content. This mechanism ensures agents retrieve up-to-date context, improving response relevance in adaptive retrieval pipelines.

Balance vector and text weights for hybrid search by adjusting vectorWeight and textWeight parameters. This tunes domain-specific retrieval balance, allowing you to prioritize semantic similarity or keyword matching based on your specific use case.

MMR diversity reduces redundant results in Qdrant retrieval by enforcing non-redundant results while preserving relevance. This ensures diverse memory recall, preventing duplicate context from overwhelming the agent's working memory.

Qdrant memory optimization supports production deployments by providing guidelines for profiling, testing, and monitoring memory performance. It includes configurable parameters for hybrid weights, MMR settings, decay schedules, and candidate expansion.

Qdrant memory retrieval returns redundant results when MMR diversity is not configured. Enable MMR settings to enforce non-redundant results while preserving relevance, and adjust candidate expansion parameters to improve overall retrieval quality.