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action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home4/scienrds/scienceandnerds/wp-includes/functions.php on line 6114Source:https:\/\/techcrunch.com\/2023\/06\/13\/vectara-lands-28-5m-to-supercharge-enterprise-search\/<\/a><\/br> Some years ago, three former Googlers \u2014 Amr Awadallah (who previously founded Cloudera<\/a>), Amin Ahmad and Tallat Shafaat \u2014 set out to build what they describe as a \u201cconversational search\u201d platform for the enterprise. Their goal was to help organizations unlock data from their text-based files, chiefly by empowering developers to build conversational AI apps that can retrieve and summarize text from vast corporate data stores.<\/p>\n The fruit of their labor, Vectara<\/a>, launched in late May. Backed by $28.5 million in seed funding led by Race Capital with participation from Emad Mostaque, the founder of Stability AI<\/a> (the AI startup behind the text-to-image system Stable Diffusion<\/a>), Vectara provides AI-powered, API-based search tech that it claims can handle queries of an arbitrary length, level of ambiguity and language across troves of multilingual documents.<\/p>\n \u201cVectara empowers developers to rapidly and easily build conversational AI products with world-class retrieval, summarization and data privacy directly on top of the data that matters to their business,\u201d Awadallah told TechCrunch in an email interview. \u201cOur industry faces a few key challenges that we are actively trying to overcome.\u201d<\/p>\n Vectara brings to mind \u201ccognitive search\u201d engines such as Amazon Kendra<\/a> and Microsoft SharePoint Syntex<\/a> that draw on enterprise knowledge bases to cobble together answers to employees\u2019 questions. Growth in the demand for such search tech mirrors the growth in the amount of data that companies have to wrangle in the course of their business.<\/p>\n One source<\/a> estimates that the average firm stores hundreds of terabytes of data, the vast majority of which goes underused for insights. According to a Forrester survey<\/a>, between 60% and 73% of all data within corporations is never analyzed for larger trends.<\/p>\n That\u2019s where a search engine like Vectara could help, asserts Awadallah.<\/p>\n At a high level, Vectara lets users ask questions about their company\u2019s data and returns a summary with citations to the source data set. The platform ingests new documents in real time, providing \u201cclient-configurable\u201d data retention, which enables organizations to discard the original documents and text after they\u2019ve been indexed so that no residual data from the company remains in Vectara\u2019s search index.<\/p>\n Ahmad explained via email:<\/p>\n \u201cWe train [our AI] on a wide variety of publicly licensed sources of data taken from the internet (e.g. Wikipedia) and other sources, [and] we mitigate inaccuracy and bias by constraining our AI models to retrieve the most relevant content from data sets that our customers have chosen to index. This content, in turn, is used to ground the summarization that our platform provides.\u201d<\/p>\n Admins can control and monitor the usage of Vectara-indexed data and revoke a user\u2019s access at any time. This affords a level of governance that\u2019s oftentimes lacking in cognitive search platforms, Awadallah says.<\/p>\n
\nVectara lands $28.5M to supercharge enterprise search<\/br>
\n2023-06-13 21:42:14<\/br><\/p>\n