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Category: Enterprise search & search technology (Page 1 of 60)

Research, analysis, and news about enterprise search and search markets, technologies, practices, and strategies, such as semantic search, intranet collaboration and workplace, ecommerce and other applications.

Before we consolidated our blogs, industry veteran Lynda Moulton authored our popular enterprise search blog. This category includes all her posts and other enterprise search news and analysis. Lynda’s loyal readers can find all of Lynda’s posts collected here.

For older, long form reports, papers, and research on these topics see our Resources page.

Elastic announces AI ecosystem to accelerate GenAI application development

November 14, 2024 /

Elastic a Search AI Company, announced its AI ecosystem to help enterprise developers accelerate building and deploying their Retrieval Augmented Generation (RAG) applications. The Elastic AI Ecosystem provides developers with a curated, comprehensive set of AI technologies and tools integrated with the Elasticsearch vector database, designed to speed time-to-market, ROI delivery, and innovation.

The Elastic AI Ecosystem offers developers pre-built Elasticsearch vector database integrations from a trusted network of AI companies to deliver seamless access to the critical components of GenAI applications across AI models, cloud infrastructure, MLOps frameworks, data prep and ingestion platforms, and AI security & operations. These integrations help developers:

  • Deliver more relevant experiences through RAG
  • Prepare and ingest data from multiple sources
  • Experiment with and evaluate AI models
  • Leverage GenAI development frameworks
  • Observe and securely deploy AI applications

The Elastic AI Ecosystem includes integrations with Alibaba Cloud, Amazon Web Services (AWS), Anthropic’s Claude, Cohere, Confluent, Dataiku, DataRobot, Galileo, Google Cloud, Hugging Face, LangChain, LlamaIndex, Microsoft, Mistral AI, NVIDIA, OpenAI, Protect AI, RedHat, Vectorize, and Unstructured.

https://ir.elastic.co/news/news-details/2024/Elastic-Announces-AI-Ecosystem-to-Accelerate-GenAI-Application-Development/default.aspx

Coveo partners with Shopify

October 31, 2024 /

Coveo, an enterprise AI platform that brings AI Search and generative AI to every point–of-experience, announced they have partnered with Shopify to bring its commerce AI capabilities to Shopify enterprise customers.

Coveo will give Shopify enterprise merchants the ability to manage AI models and strategies for search relevance and semantic precision, personalization, recommendations and generative shopper experiences, enabling AI-powered product discovery and dynamic session optimization to drive higher conversion, revenue and margins within large scale and complex B2B, B2C and D2C businesses. Shopify merchants will have access to:

  • Search: Query suggestions, personalized 1:1 results, partial part # match, cross-reference lookups, powered by AI and semantics.
  • Personalization: with real-time individualized AI-powered search results creating a relevant experience for known or anonymous visitors.
  • Recommendations: Product and content recommendations augmented in-session based on real-time shopper behavior and intent cues.
  • Indexing: Unified indexing enables product discovery, regardless of catalog complexity.
  • Generative Experiences: Guided advisory experiences educating customers on products and putting retailers’ content to work in the discovery journey.
  • AI and ML Models: Deliver solutions for your shopper journey; from query suggestions to personalized and business-aware ranking.
  • Merchandising and insights: Controls to schedule campaigns, drive experimentation and apply business rules on top of AI.

https://www.coveo.com/en/integrations/shopify-search

OpenAI introduces ChatGPT search

October 31, 2024 /

ChatGPT can now search the web so you can get fast, timely answers with links to relevant web sources, which you previously needed to go to a search engine for. This blends the benefits of a natural language interface with the value of up-to-date sports scores, news, stock quotes. Chats now include links to sources, such as news articles and blog posts.

ChatGPT will choose to search the web based on what you ask, or you can manually choose to search by clicking the web search icon. Go deeper with follow-up questions, and ChatGPT will consider the full context of your chat. Chats include links to sources, such as news articles and blog posts, giving you a way to learn more.

The search model is a fine-tuned version of GPT-4o, post-trained using synthetic data generation techniques, including distilling outputs from OpenAI o1-preview. ChatGPT search leverages third-party search providers, as well as content provided directly by our partners.

Search will be available at chatgpt.com⁠ and our desktop and mobile apps. All ChatGPT Plus and Team users, as well as SearchGPT waitlist users, will have access today. Enterprise and Edu users will get access in the next few weeks. We’ll roll out to all Free users over the coming months.

https://openai.com/index/introducing-chatgpt-search

Perplexity introduces Internal Knowledge Search and Spaces

October 17, 2024 /

From industry professionals to hobbyists, people use Perplexity in ways we never imagined, but we want to give users even more flexibility and control over the types of sources they prompt, which is why we’re excited to introduce Internal Knowledge Search and Spaces.

While file upload has been part of Perplexity for some time, one of our most requested features has been the ability to search internal files alongside the web. With Perplexity Pro and Enterprise Pro, you can now search across both public web content and your own internal knowledge bases. Seamlessly access and synthesize the best information from all sources to get the answers you need, faster.

We’ve also reinvented how teams research and organize information with Perplexity Spaces — AI-powered collaboration hubs that can be customized to your specific use case. You can invite collaborators, connect internal files, and customize the AI assistant by choosing your preferred AI model and setting instructions for how it should respond.

Spaces gives you access controls over who can access your research and files. For Enterprise Pro customers files and searches are excluded from AI training by default. Pro users can choose to opt out of AI training in their settings.

https://www.perplexity.ai/enterprise

SearchStax and Magnolia partner on personalized search solutions

September 9, 2024 /

SearchStax, a Search Experience Company, and Magnolia, a composable digital experience platform (DXP), announced a technology partnership to help marketing teams to deliver modern, personalized search experiences while driving marketing agility.

This strategic partnership merges the search capabilities of SearchStax Site Search with Magnolia’s flexible, enterprise-grade DXP, offering marketers and developers the tools they need to create next-level digital experiences throughout the customer journey. Combining SearchStax’s advanced search technology with Magnolia enables organizations to enhance website performance and user engagement by providing visitors with fast, accurate, and contextually relevant search results.

The integration module allows Magnolia managed content to be fed into the SearchStax index, augmenting the search experience for end users. The improved search results surface Magnolia content, such as editorial, campaign, FAQs and other relevant assets. This enhances the website search experience, reduces “no result” searches and increases conversions. 

Customers can now adopt SearchStax within their Magnolia DXP, and teams from both companies are ready to assist with implementation and optimization.

https://www.searchstax.com ■ https://www.magnolia-cms.com

Couchbase expands cloud database platform with Capella Columnar and vector search

September 3, 2024 /

Couchbase, Inc. launched Capella Columnar on AWS, to help organizations streamline the development of adaptive applications by enabling real-time data analysis alongside operational workloads within a single database platform. Also generally available today is Couchbase Mobile with vector search, which makes it possible for customers to offer similarity and hybrid search in their applications on mobile and at the edge, and Capella Free Tier, a free developer environment.

Capella Columnar addresses the challenge of parsing, transforming and persisting JSON data into an analysis-ready columnar format. It supports real-time, multisource ingestion of data from Couchbase, and systems like Confluent Cloud to draw data from third-party JSON or SQL systems. Capella Columnar makes analysis easy by using Capella iQ, an AI coding assistant that writes SQL++ so the developer doesn’t need to wait for the BI team to run analytics for them. Once an important metric is calculated, it can be written back to the operational side of Capella, which can use the metric within the application.

Using vector search on-device with Couchbase Lite, the embedded database for mobile and IoT applications, mobile developers can now leverage vector search at the edge for building semantic search and retrieval-augmented generation (RAG) applications.

https://www.couchbase.com/blog/free-tier-capella-columnar-mobile-vector-search-and-more/

Elastic returns to open source license for Elasticsearch and Kibana

August 29, 2024 /

Elastic, a Search AI Company, announced that it is adding the GNU Affero General Public License v3 (AGPL) as an option for users to license the free part of the Elasticsearch and Kibana source code that is available under Server Side Public License 1.0 (SSPL 1.0) and Elastic License 2.0 (ELv2).

With the addition of AGPL, an open source license approved by the Open Source Initiative (OSI), Elasticsearch and Kibana will be officially considered open source and enable Elastic’s customers and community to use, modify, redistribute, and collaborate on Elastic’s source code under a well-known open source license.

Adding AGPL will also enable greater engagement and adoption across our users in areas including vector search, further increasing the popularity of Elasticsearch as a runtime platform for RAG and building GenAI applications.

The addition of AGPL as a license option does not affect existing users working with either SSPL or ELv2, and there will be no change to Elastic’s binary distributions. Similarly, for users building applications or using plugins on Elasticsearch or Kibana, nothing changes — Elastic’s client libraries will continue to be licensed under Apache 2.0.

https://www.elastic.co/blog/elasticsearch-is-open-source-again

Microsoft introduces Bing generative search

July 24, 2024 /

From The Microsoft Bing Blog…

… Today, we’re excited to share an early view of our new generative search experience which is currently shipping to a small percentage of user queries …

This new experience combines the foundation of Bing’s search results with the power of large and small language models (LLMs and SLMs). It understands the search query, reviews millions of sources of information, dynamically matches content, and generates search results in a new AI-generated layout to fulfill the intent of the user’s query more effectively.

We’ve refined our methods to optimize accuracy in Bing, applying those insights as we continue to evolve our use of LLMs in search. We are continuing to look closely at how generative search impacts traffic to publishers. Early data indicates that this experience maintains the number of clicks to websites and supports a healthy web ecosystem. The generative search experience is designed with this in mind, including retaining traditional search results and increasing the number of clickable links, like the references in the results. 

We are slowly rolling this out and will take our time, garner feedback, test and learn, and work to create a great experience before making this more broadly available.

https://blogs.bing.com/search/July-2024/generativesearch

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