Full Text Search

Usage

The full-text search (FTS) extension adds support for matching within the content of a string property while returning the documents with a proximity score to the query. It is enabled by building an index on string properties in a table and allows searching through the strings via a keyword query. Currently, Kuzu supports only indexing on a node table’s STRING properties.

The FTS functionality is not available by default, so you first need to install the FTS extension by running the following commands:

INSTALL FTS;
LOAD EXTENSION FTS;

Example dataset

Let’s look at an example dataset to demonstrate how the FTS extension can be used. First, let’s create a Book table containing each book’s information, including the title and abstract.

CREATE NODE TABLE Book (ID SERIAL, abstract STRING, title STRING, PRIMARY KEY (ID));
CREATE (b:Book {abstract: 'An exploration of quantum mechanics.', title: 'The Quantum World'});
CREATE (b:Book {abstract: 'A magic journey through time and space.', title: 'Chronicles of the Universe'});
CREATE (b:Book {abstract: 'An introduction to machine learning techniques.', title: 'Learning Machines'});
CREATE (b:Book {abstract: 'A deep dive into the history of ancient civilizations.', title: 'Echoes of the Past'});
CREATE (b:Book {abstract: 'A fantasy tale of dragons and magic.', title: 'The Dragon\'s Call'});

In the following sections, we show how to build and query a full-text search index on the book table.

Create FTS index

Kuzu provides a function CREATE_FTS_INDEX to create the full-text search index on a table:

CALL CREATE_FTS_INDEX('TABLE_NAME', 'INDEX_NAME', ['PROP1', 'PROP2', 'PROP3'...], OPTIONAL_PARAM1 := 'OPTIONAL_VAL1')

• TABLE_NAME: The name of the node table to build FTS index.
• INDEX_NAME: The name of the FTS index to create.
• PROPERTIES: A list of properties in the table to build FTS index on. Full text search will only search the properties with FTS index built on.

The following optional parameters are supported:

• stemmer: The text normalization technique to use. Should be one of: arabic, basque, catalan, danish, dutch, english, finnish, french, german, greek, hindi, hungarian, indonesian, irish, italian, lithuanian, nepali, norwegian, porter, portuguese, romanian, russian, serbian, spanish, swedish, tamil, turkish, or none if no stemming is to be used. Defaults to english, which uses a Snowball stemmer.
• stopwords: To make the full-text search results more useful, it’s useful to provide a list of omitted words that are excluded when building and querying the full-text search index. These are termed “stopwords”. A default list of built-in english stopwords is used, but these can be customized by using the stopwords parameter. Kuzu accepts stopwords in the following formats:

1. A node table with only a single column of stopwords.
2. A PARQUET/CSV file with only a single string column of stopwords(no header required). This file can be stored in cloud storage platforms like Amazon S3 or Google Cloud Storage (GCS) or made accessible via HTTPS. If hosted remotely, ensure the httpfs extension is enabled and valid credentials (e.g., access keys) are configured to authenticate and securely access the file.

Note

1. If the provided stopwords parameter matches both a node table and a file with the same name, the node table takes precedence and will be used.
2. For optimal accuracy, it is strongly suggested to provide stopwords in their stemmed form.

The example below shows how to create an FTS index on the book table with the abstract and title properties using the porter stemmer and a customized stopwords list.

Note

1. Kuzu uses special syntax for optional parameters. Note how the := operator is used to assign a value to an optional parameter in the example below.
2. Users can only build full text search indexes on node tables.
3. Once a full-text search index is created, the stopword list becomes immutable. All queries against the index will permanently reference the original stopword list used during its creation. To update the stopword configuration, you must rebuild the index with the revised stopword list.

CALL CREATE_FTS_INDEX(
    'Book',   // Table name
    'book_index',   // Index name
    ['abstract', 'title'],   // Properties to build FTS index on
    stemmer := 'porter',   // Stemmer to use (optional)
    stopwords := 'https://stopwords/porter.txt' // Configure customized stopwords list
);

Once the index is created, the index will be ready for querying as shown below.

Query FTS index

Kuzu provides the QUERY_FTS_INDEX function to query the FTS index on a table using the Okapi BM25 scoring algorithm:

CALL QUERY_FTS_INDEX(
    'TABLE_NAME',
    'INDEX_NAME',
    'QUERY',
    OPTIONAL_PARAM1 := 'OPTIONAL_VAL1'...
)
RETURN node, score

• TABLE_NAME: The name of the table to query.
• INDEX_NAME: The name of the FTS index to query.
• QUERY: The query string that contains the keywords to search.

Note

Uniqueness of index names: If you build multiple FTS indices on a table, they must have different names. However, multiple FTS indices can have the same name as long as each one is built on a separate table.

The following optional parameters are supported:

1. conjunctive: Whether all keywords in the query should appear in order for a document to be retrieved. Defaults to false.
2. K: controls the influence of term frequency saturation. This limits the effect of additional occurrences of a term within a document. Defaults to 1.2.
3. B: controls the degree of length normalization by adjusting the influence of document length. Defaults to 0.75.

Detailed explanation of k and b values can be found here.

The below example shows how to query books related to the quantum machine and order the books by their scores:

CALL QUERY_FTS_INDEX('Book', 'book_index', 'quantum machine')
RETURN node.title as title, node.abstract as abstract, score
ORDER BY score DESC;

Result:

┌───────────────────┬─────────────────────────────────────────────────┬──────────┐
│ title             │ abstract                                        │ score    │
│ STRING            │ STRING                                          │ DOUBLE   │
├───────────────────┼─────────────────────────────────────────────────┼──────────┤
│ The Quantum World │ An exploration of quantum mechanics.            │ 0.868546 │
│ Learning Machines │ An introduction to machine learning techniques. │ 0.827832 │
└───────────────────┴─────────────────────────────────────────────────┴──────────┘

The conjunctive option can be used when you want to retrieve only the books containing all the keywords in the query.

CALL QUERY_FTS_INDEX('Book', 'book_index', 'dragon magic', conjunctive := true)
RETURN node.title as title, node.abstract as abstract, score
ORDER BY score DESC;

Result:

┌───────────────────┬──────────────────────────────────────┬──────────┐
│ title             │ abstract                             │ score    │
│ STRING            │ STRING                               │ DOUBLE   │
├───────────────────┼──────────────────────────────────────┼──────────┤
│ The Dragon's Call │ A fantasy tale of dragons and magic. │ 1.208044 │
└───────────────────┴──────────────────────────────────────┴──────────┘

If you want to retrieve books with either the dragon OR magic keywords, set conjunctive to false

CALL QUERY_FTS_INDEX('Book', 'book_index', 'dragon magic', conjunctive := false)
RETURN node.title as title, node.abstract as abstract, score
ORDER BY score DESC;

Result:

┌────────────────────────────┬─────────────────────────────────────────┬──────────┐
│ title                      │ abstract                                │ score    │
│ STRING                     │ STRING                                  │ DOUBLE   │
├────────────────────────────┼─────────────────────────────────────────┼──────────┤
│ The Dragon's Call          │ A fantasy tale of dragons and magic.    │ 1.208044 │
│ Chronicles of the Universe │ A magic journey through time and space. │ 0.380211 │
└────────────────────────────┴─────────────────────────────────────────┴──────────┘

Drop FTS index

Use the function DROP_FTS_INDEX to drop the FTS index on a table:

CALL DROP_FTS_INDEX('TABLE_NAME', 'INDEX_NAME')

The example below shows how to drop the book_index index from the Book table:

CALL DROP_FTS_INDEX('Book', 'book_index')

Show FTS indexes

There is no function to specifically show FTS indexes, but there is a general function SHOW_INDEXES that can be used to show all the indexes available in the database.

CALL SHOW_INDEXES() RETURN *;

This will return a list of all the indexes available in the database, while also listing the type of each index.

┌────────────┬────────────┬────────────┬──────────────────┬──────────────────┬──────────────────────────────────────────────────────────────────────────────────────────┐
│ table name │ index name │ index type │ property names   │ extension loaded │ index definition                                                                         │
│ STRING     │ STRING     │ STRING     │ STRING[]         │ BOOL             │ STRING                                                                                   │
├────────────┼────────────┼────────────┼──────────────────┼──────────────────┼──────────────────────────────────────────────────────────────────────────────────────────┤
│ Book       │ book_index │ FTS        │ [abstract,title] │ True             │ CALL CREATE_FTS_INDEX('Book', 'book_index', ['abstract', 'title'], stemmer := 'porter'); │
└────────────┴────────────┴────────────┴──────────────────┴──────────────────┴──────────────────────────────────────────────────────────────────────────────────────────┘

Prepared statement

Prepared statements allows you to execute a query with different parameter values without rebinding the same query. You can parameterize your CALL QUERY_FTS_INDEX calls. For example, suppose you want to find books with different keywords. We give an example below using our C++ API but you can create prepared statements in other APIs as well. We first prepare a Cypher statement which queries the book_index with a parameter q.

auto preparedStatement = conn->prepare("CALL QUERY_FTS_INDEX('Book', 'book_index', $q) RETURN node.ID, score;");

Now, we can find books with different keywords using the prepared statement and specifying different values for q. For example, to query the index with keywords machine learning, we can do:

auto result = conn->execute(prepared.get, std::make_pair(std::string("q"), std::string("machine learning")));

Similarly, to query the index with the keyword dragons, we can do:

auto result = conn->execute(prepared.get, std::make_pair(std::string("q"), std::string("dragons")));