Salesforce adds Einstein Copilot Search, vector database to its Data Cloud, to help enterprises take advantage of unstructured data for analysis, and build AI-based applications. Credit: SARINYAPINNGAM Salesforce is updating its Data Cloud with vector database and Einstein Copilot Search capabilities in an effort to help enterprises use unstructured data for analysis. The customer relationship management (CRM) software provider’s Data Cloud, which is a part of the company’s Einstein 1 platform, is targeted at helping enterprises consolidate and align customer data. The Einstein 1 platform, in turn, is a data engine with a low code and no code interface that is designed to let enterprises connect data to build AI-based applications. As part of the updates, Salesforce has integrated vector database support via the Data Cloud Vector Database feature, which makes it easier for the Data Cloud to handle diverse data types. “This database allows Salesforce customers to combine structured and unstructured data, creating a more comprehensive customer profile,” the company said in a press release, adding that once the unstructured data is added to the Data Cloud, it is automatically converted into a usable format across the Einstein 1 platform. This, according to the company, makes the unstructured data available for analysis and utilization across various workflows within Salesforce applications including Flow, Apex, and Tableau. Salesforce has also added an AI search capability to Einstein Copilot, which will allow the generative AI-based assistant to interpret and respond to complex queries from enterprise users by tapping into diverse data sources, including unstructured data. “Copilot Search will provide precise, contextually relevant responses in a user’s workflow and bolster trust with source citations from the Einstein Trust Layer,” the company said. The Einstein Trust Layer is based on a large language model (LLM) built into the platform to ensure data security and privacy. In order to take advantage of unstructured data via Einstein Copilot Search, enterprises would have to create a new data pipeline that can be ingested by the Data Cloud and stored as unstructured data model objects. These data model objects have to be transformed into data fit for use in AI applications by converting the data into embeddings, which are numeric representations of data optimized for use in AI algorithms, the company said, adding that these embeddings are then indexed for use in search across the Einstein 1 platform alongside any other existing structured data. The Einstein Copilot Search capability can also be paired with retrieval augmented generation (RAG) tools — which Salesforce supplies — in order to enable Einstein Copilot to answer customer questions. Answers comes with semantically relevant information, citing the knowledge sources used to craft the answers, the company said. Related content news SAP, IBM Consulting partner to offer genAI-based services The partnership will see both companies offer generative AI-based services to enterprises via RISE with SAP offering. By Anirban Ghoshal May 09, 2024 3 mins Generative AI IBM SAP feature Essential skills and traits of chief AI officers CAIOs require a multidimensional skill set to drive innovation, establish and lead an AI-ready culture, and create tangible organizational results leveraging a complex and rapidly evolving technology. By David Weldon May 09, 2024 9 mins Artificial Intelligence IT Leadership case study How being cloud smart fosters growth at Saab Fuelled by global turbulence and increasing defense budgets, Swedish defense group Saab is meeting high demand by integrating efforts to become more software-driven, and central to managing it all is CIO Annette Eriksson. By Karin Lindström May 09, 2024 5 mins CIO Aerospace and Defense Industry Cloud Architecture interview Strong CIO-CISO relations fuel success at Ally CIO Sathish Muthukrishnan and CISO Donna Hart have forged a partnership steeped in Ally’s culture of radical candor that keeps the financial services firm secure and innovative. By Dan Roberts May 09, 2024 9 mins CIO CSO and CISO IT Leadership PODCASTS VIDEOS RESOURCES EVENTS SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe