2023年6月15日

——廣告——幾年前,三名前員工——Amr Awadallah(他曾經創立了Cloudera),阿明艾哈邁德和Tallat Shafaat——開始構建他們描述為一個“會話搜索”平台為企業。他們的目標是幫助組織釋放的數據文本文件,主要是通過讓開發人員構建對話人工智能應用程序可以從龐大的企業數據存儲檢索和總結文本。他們勞動的果實,Vectara,在5月底推出。支持的2850萬美元的種子資金由種族與參與Emad Mostaque資本,穩定的創始人AI (text-to-image背後的AI啟動係統穩定的擴散),Vectara提供AI-powered,基於api搜索技術,可以處理任意長度的查詢,歧義和語言水平在搜集的多語言文檔。“Vectara使開發人員能夠快速、輕鬆地構建對話AI與世界級的產品檢索、彙總和數據隱私上直接關係到他們的數據業務,“Awadallah告訴TechCrunch在一封電子郵件采訪。“我們的行業麵臨一些關鍵挑戰,我們正在積極努力克服。“Vectara令人想到“認知的搜索引擎如亞馬遜肯德拉和微軟SharePoint這家公司,利用企業知識庫來拚湊出員工的問題的答案。這樣的搜索技術的需求增長反映了增長的數據量公司必須爭論的過程中他們的業務。一個源估計平均公司商店上百tb的數據,其中絕大多數是未充分利用的見解。據Forrester調查中,60%至73%的所有數據在企業從來不是大趨勢分析。 That’s where a search engine like Vectara could help, asserts Awadallah. At a high level, Vectara lets users ask questions about their company’s data and returns a summary with citations to the source data set. The platform ingests new documents in real time, providing “client-configurable” data retention, which enables organizations to discard the original documents and text after they’ve been indexed so that no residual data from the company remains in Vectara’s search index. Ahmad explained via email: “We 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.” Admins can control and monitor the usage of Vectara-indexed data and revoke a user’s access at any time. This affords a level of governance that’s oftentimes lacking in cognitive search platforms, Awadallah says. Image Credits: Vectara “We’re opening up this application of AI for the millions of apps and websites out there that rely on search for core navigation,” he continued. “This technology enables teams to better use time that’s being wasted, capture money that’s being left on the table and begin unlocking further insights that become available once search intent is understood.” So what are customers using Vectara’s tech for, exactly? Awadallah says that brands like Conversica, Apex Chat, Metus and Oncotelic Therapeutics have been applying it to use cases like legal discovery, ecommerce search, news monitoring and financial analysis. “With Vectara, companies can add neural-net powered semantic search to research workflows,” he added. “We truly believe the ability to express our needs verbally represents a major evolution in how user interfaces will be designed in the future, similar to how the iPhone led to all apps being redesigned to allow us to use our fingers for clicking, zooming, pinching and swiping.” Cupertino, California-based Vectara, which has 24 employees, plans to use its seed funding to expand its engineering and go-to-market teams with an emphasis on European, Middle Eastern and Asia Pacific regions. Expansion will be key if Vectara hopes to stay ahead of rivals in the enterprise search space. Forethought , like Vectara, offers an AI-driven information retrieval system built for corporate environments. There’s also Coveo , a Canadian startup that builds enterprise-focused search and personalization services powered by AI. Fortunately for Vectara, the cognitive search market is exploding — it’s anticipated to be worth $15.28 billion by 2023, up from $2.59 billion in 2018, according to Markets and Markets . If Vectara plays its cards right, it might just carve out a slice of the increasingly lucrative pie.