OrientDB supports full-text search through its indexing and querying capabilities, allowing users to perform efficient and expressive full-text searches on text fields within documents or records stored in the database. Here's how OrientDB supports full-text search:

Full-Text Indexes : OrientDB provides full-text indexes, which are special indexes designed specifically for supporting full-text search operations. Full-text indexes allow users to index text fields within documents or records and perform fast full-text searches on those fields.

Lucene Integration : OrientDB integrates with Apache Lucene, a powerful full-text search library, to provide advanced full-text search capabilities. Lucene integration enables OrientDB to leverage Lucene's indexing and search algorithms for efficient and scalable full-text search operations.

Text Analysis and Tokenization : OrientDB's full-text search capabilities include text analysis and tokenization, which process and tokenize text fields into searchable tokens based on language-specific rules and configurations. Text analysis ensures that full-text searches are language-aware and can handle stemming, stop words, synonyms, and other linguistic variations.
Full-Text Query Language : OrientDB provides a full-text query language that allows users to construct expressive full-text search queries using familiar syntax and semantics. Users can specify search terms, proximity operators, fuzzy matching, wildcards, and other search parameters to tailor the search query to their specific requirements.

Support for Complex Queries : OrientDB's full-text search capabilities support complex queries that combine full-text search criteria with other query conditions, filters, and aggregations. Users can perform full-text searches as part of larger query operations, enabling them to retrieve and analyze data based on both text and non-text criteria.

Scalability and Performance : OrientDB's full-text search capabilities are designed for scalability and performance, allowing users to index and search large volumes of text data efficiently. Full-text indexes are optimized for fast search operations, and OrientDB's distributed architecture enables full-text searches to be distributed across multiple nodes in a cluster for parallel processing and scalability.

Integration with Query Language : Full-text search capabilities are seamlessly integrated with OrientDB's query language (SQL) and APIs, allowing users to perform full-text searches using standard query syntax and programming interfaces. Users can combine full-text search queries with other SQL operations, such as filtering, sorting, and aggregation, to build complex and powerful data retrieval workflows.