Bringing Machine Learning to Your Content
Discover Content Analytics and Discover Content Insights Powered by Machine Learning
Karora is integrated with Lucidworks Fusion Server 5.0.
Lucidworks is the leading intelligent search company offering a platform for unifying data and content spread across internal and external resources. The company’s AI-based Fusion platform applies machine learning as data is being ingested along with natural language processing and “topic detection.” Based on queries, Fusion AI is designed to predict a user’s intent to deliver the most relevant results.
Fusion Server combines the Apache Solr search engine with Apache Spark for AI. The server indexes and stores data for use in real-time queries. Self-learning systems deliver the right results the first time for increased collaboration, productivity, and insights.
For enterprise customers, the goal is to deliver Google-like results drawn from company-wide data and content resources.
Fusion Server’s REST APIs and endpoints provides connectors for indexing data from 60+ enterprise systems and databases.
What's New in Fusion 5
Fusion Server 5.0 provides a data discovery platform that gives users contextual, personally relevant search results and proactive recommendations via integrated artificial intelligence.
Highly scalable, Fusion Server indexes and stores records of any type, from any source for real-time discovery. It has the ability to conduct full-text search using standard SQL capabilities and powerful analytics. Artificial intelligence applies machine learning to classify and categorize data at the moments of ingestion and query execution.
Fusion Server lets customers easily deploy AI-powered data discovery and search applications in a modern, containerized, cloud-native architecture. Data scientists interact with those applications by leveraging existing machine learning models and workflows.
Contextual Insights, Delivered Instantly
Fusion is the data discovery platform that gives users contextual, personally relevant search results and proactive recommendations with artificial intelligence that augments their human intelligence. Users can discover insights at the moment they have a question, without any training, and even across billions of documents or records.
Artificial Intelligence for Constant Self-Tuning
Natural Language Processing (NLP)
Fusion employs NLP to detect phrases, topics and parts of speech for automatic classification and clustering of content in ways that make it easily accessible for search, browsing and predictive suggestions.
Fusion clusters users by behavior and elevates documents which perform best for each cluster’s favorite queries. Models then boost documents with features most relevant to a given cluster.
Head/Tail Query Rewriting
Head/Tail Analysis and automatic synonym detection analyzes the head (most common) and tail (infrequent) queries in the system, then auto-generates synonyms.
Query Intent Classification
Machine learning in Fusion uses training data on past searches and outcomes to predict the intent of each new query. Deep learning can use that intelligence for query parsing, query pipeline routing, autocomplete and type-ahead.
The Learning to Rank algorithm extracts tags such as product names, titles, and document categories to determine relevance scores in real-time.
Data Clustering and Classification
Fusion uses unsupervised machine learning to cluster similar content for pattern recognition. Classification, a supervised form of ML, teaches Fusion to classify new data to predetermined categories.
Fusion Server personalizes queries based on signals like user profile, behavior, natural language processing, or location. Features like autocomplete, query intent classifier, a rules engine, and our proprietary Semantic Knowledge Graph (SKG) help users express queries for their context. Fusion uses NLP parsing to determine user intent and calculate relevance scores in real-time.
Machine Learning Everywhere
Fusion 5 includes native support for Python machine learning models. Plug your custom ML models into Fusion and integrate with your existing data science infrastructure. Allow your data scientists and analysts to use Fusion with their existing toolkits to augment user’s human intelligence across the entire experience.
Insight Discovery With Personal Context
Uses machine learning to personalize queries, optimize results, and proactively guide users to discover their own insights.