In OpenText Documentum, full-text indexing is a powerful feature that enables fast and accurate searching across both document content and metadata.

What is Full-Text Indexing?

Full-text indexing allows the system to:

Index the actual content inside documents (not just metadata)
Perform keyword-based searches across large volumes of data
Retrieve relevant results quickly

This significantly improves the search experience compared to basic metadata-only queries.

Documentum xPlore Index Server

Documentum uses the xPlore Index Server to provide advanced indexing and search capabilities.

Key features of xPlore:

Indexes both content and property values (metadata)
Supports high-performance search across repositories
Enables scalable indexing for large enterprise systems

By default:

All indexable content is processed
All property values are included in the index

How It Works

Content is added or updated in the repository
The Content Server sends data to the xPlore index server
xPlore processes and indexes:
- Document content
- Metadata attributes
Users perform searches
Results are returned quickly using the index

Benefits of Full-Text Indexing

Fast search performance
Accurate results based on content and metadata
Scalability for large repositories
Improved user productivity

Example Use Case

A user searches for a keyword like “loan agreement”:

The system searches not only file names or metadata
But also the actual text inside documents
Relevant documents are returned instantly

Conclusion

Full-text indexing in Documentum, powered by the xPlore index server, enables comprehensive, fast, and scalable search capabilities, making it easier for users to find the exact content they need within large repositories.

Full-Text Indexing