BA Insight for Solr
Leave Expensive, Rigid, and Proprietary Search Behind
Help visitors to your website, customer portal, or enterprise systems get a return on information. Give your audiences a web-like advanced search capability so they can find what they need, so you can delight website visitors, improve your CX portal, and make your employees lives more productive.
Give your website visitors, customers and employees all deserve a better search experience – one that is connected, accurate, reliable and fast.
Your choice of integration with Microsoft Cognitive Services, Google Cloud Machine Learning and the Rasa Stack provide intelligence and internet-like capabilities, which include innovative Natural Language Processing to automate extracting key information from documents. The information is then used to generate summaries and categorize and tag all of your enterprise information, including images and videos.
Connections to over 90 enterprise systems through our highly scalable, purpose-built platform upon which we build ingestion connectors. It can also be used by our customers to develop their own connectors.
Personalized experience through capabilities such as Natural Language Query, Bots, and Machine Learning-based recommendations. Users are presented with results specifically tailored to their attributes and behaviors.
In-App Search takes AI-driven search directly to the users from within the apps they use every day, such as ServiceNow, Teams, Salesforce, NetDocuments, Dynamics, and Outlook. By seamlessly integrating into their existing work practices, users don’t need to learn a new application or change their processes. They simply get better information – faster and easier.
With a single query, find relevant documents as well as relevant pages within those documents. Remove the need to download, open, and search again, saving valuable time. This interface works the same for all users across documents, emails, attachments, and more.
The search bot leverages analytics data to suggest a query previously executed by other users, suggest removal of a filter, or suggest a more restrictive query depending on the situation.
Users can find information by making requests as if they were speaking to a person. This eliminates the need for them to learn complex query syntax in order to find the specific information they seek.
Tap into each user’s context to provide personalized dashboards and highly relevant results.
Includes capabilities such as Autocomplete, similar searches, and recommendations to make search smarter.
Connect to content repositories, applications, and databases with 90+ out of the box connectors.
Generate a document summary so users can quickly determine whether a document which appears in their search results is relevant to their current needs.
AI-based linguistic analysis is used to determine the key concepts contained within documents, which is then leveraged to deliver additional documents which contain the same concepts.
Machine Learning is used to analyze sample documents associated with taxonomy nodes and create training sets, which are used to automatically tag content. Machine Learning-based tagging can be used either in conjunction with or in place of rules-based tagging so that it can be optimized for each use case.
A complete UI framework provides many features including facets, intelligent type-ahead, and configurable results presentation.
Dynamically generate type-ahead suggestions of multiple types. Category Matches will search available metadata and suggest matching values, applying Machine Learning to analytics data to deliver suggested queries based on previous searches. Suggestions of People or Content results match what the user is typing. Extensible for delivering suggestions of other types as well.
Responsive out-of-the-box UI for optimized delivery on mobile devices, including phones and tablets.
With a single query, find relevant documents as well as relevant pages within those documents. Each page is fully hit highlighted, using color coding for different terms. Search inside or navigate using a dynamic hit-map to rapidly evaluate content for relevance and locate information deep inside documents.
Save results from a search session to the workspace and tag pages for reference and future work. Arrange,share, and export selections from the persistent workspace; allowing work to continue seamlessly from the office PC to your iPad at home.
Content assembly allows the creation of composite documents. Create Word documents, PowerPoint presentations, PDFs, Excel manifests, and ZIP files using search derived content, while preserving images and native formatting and maintaining references to the original source content.
Derive real-time reports from user interactions including searches, interactions with content, queries, and more to provide administrators with insight that will help them improve user experience and engagement.