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Full-Text + JSON Search

Uni supports full-text search over string properties and JSON documents, plus JSON path predicates for nested fields.

What It Provides

  • Full-text indexes for string properties.
  • JSON full-text search with path targeting.
  • CONTAINS predicates on JSON documents.

Example

use uni_db::Uni;

# async fn demo() -> Result<(), uni_db::UniError> {
let db = Uni::open("./my_db").build().await?;

db.execute("CREATE FULLTEXT INDEX doc_fts FOR (d:Doc) ON (d.title, d.body)")
    .await?;

let rows = db.query(
    "MATCH (d:Doc) WHERE d.body CONTAINS 'vector' RETURN d.title"
).await?;

println!("{:?}", rows);
# Ok(())
# }

import uni_db

db = uni_db.Database("./my_db")
db.execute("CREATE FULLTEXT INDEX doc_fts FOR (d:Doc) ON (d.title, d.body)")

rows = db.query(
    "MATCH (d:Doc) WHERE d.body CONTAINS 'vector' RETURN d.title"
)
print(rows)

Use Cases

  • Search across documents, notes, or product descriptions.
  • JSON documents with nested fields.
  • Hybrid filters that combine text search with graph structure.

When To Use

Use full-text or JSON search when keyword matching and relevance ranking matter more than exact equality on fields.