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Structured Retrieval

A retrieval technique where natural language queries are mapped to structured query languages (like SQL or Cypher) or metadata filters to extract data from formatted sources. It prioritizes precision and hard constraints over the fuzzy similarity matches typical of pure vector-based retrieval.

Definition

A retrieval technique where natural language queries are mapped to structured query languages (like SQL or Cypher) or metadata filters to extract data from formatted sources. It prioritizes precision and hard constraints over the fuzzy similarity matches typical of pure vector-based retrieval.

Disambiguation

Schema-aware querying of databases versus vector-similarity querying of unstructured text.

Visual Metaphor

"A surgical scalpel extracting a specific data point versus a fishing net gathering similar documents."

Key Tools
LangChain (SQLDatabaseChain)LlamaIndex (PandasQueryEngine)Neo4jDuckDBPinecone (Metadata Filtering)
Related Connections

Conceptual Overview

A retrieval technique where natural language queries are mapped to structured query languages (like SQL or Cypher) or metadata filters to extract data from formatted sources. It prioritizes precision and hard constraints over the fuzzy similarity matches typical of pure vector-based retrieval.

Disambiguation

Schema-aware querying of databases versus vector-similarity querying of unstructured text.

Visual Analog

A surgical scalpel extracting a specific data point versus a fishing net gathering similar documents.

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