Nuclia Description
The AI search engine will deliver the right answers based on your text, documents, and videos. You can get 100% out-of the-box AI and generative answers for your documents, videos, and texts while maintaining your data privacy. Nuclia indexes unstructured data, both internal and external, and provides optimized search results. It can handle video transcription, audio transcription, image content extracting, and document parsing. Allow your users to search for data not just by keywords, but also in natural language and in almost any language. You will get the right answers. You can easily generate AI search answers and results from any data source. Use our low code web component to integrate Nuclia AI-powered search into any application, or use our SDK to build your own front end. Nuclia can be integrated into your application in under a minute. Choose how to upload data from Nuclia in any language and in almost any format.
Nuclia Alternatives
Google Cloud Search
Cloud Search brings the best of Google Search into your business, delivering true enterprise-level search. Cloud Search can be integrated with G Suite, or used to connect to third-party data platforms. It helps employees find the right information quickly, easily, securely, and efficiently across the company.
It should be easy to search through the data of your company. Cloud Search uses machine learning to instantly suggest queries and surface relevant results across more 100 content platforms. This includes over 100 languages. Cloud Search does enterprise search and your business what Google does for the web.
Cloud Search provides enterprise search via robust SDKs and ready to use APIs. This allows you to scalably index large amounts of data from any source. You can index third-party content from hundreds of enterprise sources using over 100 connectors.
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Amazon Kendra
Amazon Kendra, a machine learning-powered enterprise search service, is highly accurate and simple to use. Kendra provides powerful natural language search capabilities for your websites and apps so that your end users can find the information they need in the large amount of content across your company. Natural language questions are better than keywords. This will allow you to find the answers you need, whether it is a specific answer or an entire document. You can stop searching through endless links for the information you are looking for and just focus on finding it. Information silos can be eliminated. Kendra allows you to easily add content from file system, SharePoint, intranet websites, file sharing services, etc. into a central location. This will allow you to quickly search for all your information and find the best answer. Kendra's machine-learning algorithms learn which results are most valuable to you and improve your search results.
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IBM Watson Discovery
Search powered by AI allows you to find specific answers and trends in documents and websites. Watson Discovery is an AI-powered search engine and text-analytics. It uses market-leading natural language processing technology to understand the unique language of your industry. It quickly finds answers in your content and uncovers business insights from documents, webpages, and big data. This reduces research time by more that 75%. Semantic search goes beyond keyword search. Watson Discovery provides context for answers to questions, which is a departure from traditional search engines. It quickly scans your connected data sources to find the most relevant passage, and then provides the source documents or webpage. Natural language processing and next-level search capabilities make all information accessible.
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Vectara
Vectara offers LLM-powered search as-a-service. The platform offers a complete ML search process, from extraction and indexing to retrieval and re-ranking as well as calibration. API-addressable for every element of the platform. Developers can embed the most advanced NLP model for site and app search in minutes.
Vectara automatically extracts text form PDF and Office to JSON HTML XML CommonMark, and many other formats. Use cutting-edge zero-shot models that use deep neural networks to understand language to encode at scale. Segment data into any number indexes that store vector encodings optimized to low latency and high recall. Use cutting-edge, zero shot neural network models to recall candidate results from millions upon millions of documents. Cross-attentional neural networks can increase the precision of retrieved answers. They can merge and reorder results. Focus on the likelihood that the retrieved answer is a probable answer to your query.
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Company Details
Company:
Nuclia
Website:
nuclia.com
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SaaS
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24/7 Live Support
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