SemanticSearchIndex
represents a semantic search index object.
SemanticSearchIndex["name"]
represents the index with the specified name in the SemanticSearchIndices[] list.
Details and Options
- SemanticSearchIndex represents a corpus of documents that can be searched by semantic similarity.
- Index properties can be accessed via SemanticSearchIndex[…]["prop"].
- The following properties are supported:
-
"Database" vector database backing the index "DocumentCount" number of documents stored in the index "Embeddings" vector embeddings of the entries "FeatureExtractor" how features are extracted from text chunks "ID" index ID "ItemCount" number of chunks stored in the index "Items" stored chunks "Label" item labels "Location" where the index is stored "TagKeys" keys of the tag association "Tags" tags associated with each entry {prop1,…} a list of properties - The following options can be specified:
-
GeneratedAssetLocation $GeneratedAssetLocation where to save the index OverwriteTarget Automatic whether to overwrite an existing location
Examples
open allclose allBasic Examples (2)
Scope (4)
Properties (4)
Extract a list of index properties:
Extract multiple properties at once:
Retrieve the VectorDatabaseObject storing the embeddings:
Options (1)
GeneratedAssetLocation (1)
Text
Wolfram Research (2024), SemanticSearchIndex, Wolfram Language function, https://reference.wolfram.com/language/ref/SemanticSearchIndex.html (updated 2025).
CMS
Wolfram Language. 2024. "SemanticSearchIndex." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2025. https://reference.wolfram.com/language/ref/SemanticSearchIndex.html.
APA
Wolfram Language. (2024). SemanticSearchIndex. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/SemanticSearchIndex.html