Agentic AI Reference Architecture

Knowledge & Data · Software component

Metadata-Filtered Retriever

Software componentKnowledge & DataKnowledge & Dataarc:MetadataFilteredRetriever

A vector retriever that applies metadata predicates (modality, speaker, time period, source) to narrow the search space before vector similarity search.

Responsibility. Restricts similarity search to chunks matching metadata filters.

Also known as: Hybrid search (vector + metadata filter), Context-aware episodic retrieval

Variant of Vector Retriever abstract

readsspecializesis invoked byis configured byreadsis configured byis invoked bysends data toVector Index Store: readsVector Index StoreVector Retriever: specializesVector RetrieverMemory Retriever: is invoked byMemory RetrieverKnowledge Chunk Metadata Schema: is configured byKnowledge Chunk Metadata…Filter-Optimized Vector Index Store: readsFilter-Optimized Vector …Multimodal Chunk Metadata Schema: is configured byMultimodal Chunk Metadat…Episodic Anomaly Scorer: is invoked byEpisodic Anomaly ScorerTimestamped Citation Presenter: sends data toTimestamped Citation Pre…
Direct neighbourhood (hover for relationship types)

Relationships

is configured by structural

is invoked by dependency

reads dependency

sends data to dynamic

Design guidance

Classification

Patterns
Filtered vector searchACORN filtered searchCustomer segment / time window / system version filtersGeospatial and recency filters (e.g., within 100 m, past 24 h)Filters by date, author, category, custom metadata or access controlFreshness filtering
Technologies
MilvusPineconeWeaviate
Quality attributes
Functional suitability: correctness and validity (ISO/IEC 25010 | NIST AI RMF: valid)
Risks mitigated
Retrieval of semantically similar but out-of-scope chunks

Sources

  1. Ch2.7: T. Nguyen, "Multimodal RAG Approaches," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 2.7. ISBN: 9798244538229.
  2. Ch4.1: T. Nguyen, "Introduction to AI Agent Deployment and Scaling," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 4.1. ISBN: 9798244538229.
  3. Ch5.7: T. Nguyen, "Episodic Memory," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 5.7. ISBN: 9798244538229.
  4. Ch5.8: T. Nguyen, "Semantic Memory," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 5.8. ISBN: 9798244538229.
  5. Ch6.2A: T. Nguyen, "Vector Database Selection," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 6.2A. ISBN: 9798244538229.
  6. Ch6.3B: T. Nguyen, "ETL Worked Example - Load Phase & Pipeline Integration," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 6.3B. ISBN: 9798244538229.
  7. Ch6.4: T. Nguyen, "Data Quality Fundamentals," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 6.4. ISBN: 9798244538229.