The Digital3RDi Enterprise Search
What is 3RDi Enterprise Search?
It is a comprehensive suite of products which offers solutions for content discovery, semantic enrichment, governance, analytics, relevancy management and automated testing. It is a platform that offers research case management solutions and a variety of result analysis and advanced search options that helps researchers in deeper study and literature exploration. It exploits the unstructured content to yield an intelligent search and discovery solution.
3RDi Enterprise Search is a tool in the Search category of a tech stack.
Key Features
AI / machine learningFaceted search / filteringFull text searchIndexingText analyticseDiscoveryNLPText miningSearch analytics
3RDi Enterprise Search Pros & Cons
Pros of 3RDi Enterprise Search
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Cons of 3RDi Enterprise Search
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3RDi Enterprise Search Alternatives & Comparisons
What are some alternatives to 3RDi Enterprise Search?
Algolia
Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.
Solr
Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.
Transformers
It provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch.
