Coveo consolidates content from your entire knowledge ecosystem within our Unified Index, so that our platform can harness and uncover relationships among data from vastly different systems, giving your organization and your customers relevant insights you didn’t think possible.
Based on a variety of factors, algorithms for scoring and weighting, Relevance Ranking can be easily tuned and configured.
Regardless of the actual naming of the metadata in the indexed repositories, the system supports configurable and persistent mapping and enables quicker results to be displayed.
Metadata can be automatically injected into documents, enabling better search results, scoring and ultimately, get more out of the stream of content.
Users can manipulate information in a very flexible manner by applying multiple filters, custom tags and annotations to results in real-time. Tags are searchable and enable the user to act on that data.
The Optical Character Recognition (OCR) module allows the indexing of text content converted from files such as scanned documents stored in image or PDF files.
Conversion scripts allow administrators to fully customize the way documents are indexed. There are two types of scripts: pre and post. These are executed before (and after) the conversion of the document from its binary representation to indexable metadata/text.
Sentiment can be extracted within posts, comments, messages, etc.
Extraction parameters, normalization, and blacklisting can be refined and metadata regenerated without re-indexing the full document set.
Additional third-party plugins can be added to the Text Analytics workflow. For example, domain/organization specific taxonomies can be used in the process.
Configurable rules can be used to add specific metadata to documents.
Themes are topics and concepts that are automatically extracted from indexed content.
Entities such as persons, locations, and organizations are automatically extracted from indexed content. Additional entities can be configured in the system.Themes are topics and concepts that are automatically extracted from indexed content.
Coveo’s Index mirroring system provides high availability (if one mirror fails, the others can continue serving queries). The number of queries that can be answered per second can be doubled by doubling the number of automatically synchronized mirrors.
The Indexing process can be distributed in many Index Slices, each one indexing part of the content.
Federate queries to other instances of Coveo and merge the results from all instances into a single result page while also leveraging the ranking algorithms from different instances. Enables high levels of scalability.
Configurable performance profiles optimally balance indexing total throughput, query performance, and time-to-index.
The Coveo Analytics Database allows the use of third-party reporting tools for additional reporting. An administrator can also easily configure the enterprise search interfaces to integrate third-party Web Analytics systems such as Google Analytics.