Building and Running Queries

The following describes how to create a native Python syntax query that returns the identifiers of documents that have the strongest match to your search criteria. These identifiers can then be used to retrieve the corresponding matching documents.

In addition to Python syntax, Hyperspace also supports Elasticsearch DSL syntax.

A query can define one of the following types of search –

• Classic (Lexical) Search - Based on keyword and term matching

• Vector Search - Based on vector similarity

• Hybrid Search Returns the combined similarity match results of both the Classic and the Vector Search.

Classic search can be used to improve the results of vector search, by filtering based on metadata fields.