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Faceted Search

A retrieval strategy in RAG pipelines that leverages structured metadata categories to narrow the vector search space, ensuring the LLM receives context that is both semantically relevant and aligned with specific attributes like date range, document source, or classification level.

Definition

A retrieval strategy in RAG pipelines that leverages structured metadata categories to narrow the vector search space, ensuring the LLM receives context that is both semantically relevant and aligned with specific attributes like date range, document source, or classification level.

Disambiguation

In RAG, this is metadata-constrained retrieval, not just a sidebar of checkboxes in an e-commerce UI.

Visual Metaphor

"A multi-layered sieve that filters out all pebbles (documents) except for those that are specifically blue, square, and from the 'River' category before checking for weight (semantic similarity)."

Key Tools
Pinecone (Metadata Filtering)Weaviate (GraphQL filters)MilvusQdrantLangChain Self-Query RetrieverElasticsearch
Related Connections

Conceptual Overview

A retrieval strategy in RAG pipelines that leverages structured metadata categories to narrow the vector search space, ensuring the LLM receives context that is both semantically relevant and aligned with specific attributes like date range, document source, or classification level.

Disambiguation

In RAG, this is metadata-constrained retrieval, not just a sidebar of checkboxes in an e-commerce UI.

Visual Analog

A multi-layered sieve that filters out all pebbles (documents) except for those that are specifically blue, square, and from the 'River' category before checking for weight (semantic similarity).

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