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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.

Coveo augments AI support

Coveo announced three advancements to augment AI, GenAI, and Agentic AI projects: Coveo for Agentforce, and expanded suite of Coveo APIs and the Coveo Agentic AI Design Partner Program.

Coveo for Agentforce natively integrates into Salesforce, grounding AI agents in contextually relevant, enterprise-wide knowledge—wherever it resides. Coveo for Agentforce is focused on enhancing deployments for large, complex enterprises, to help ensure it delivers the most relevant, up-to-date knowledge instantly. Beyond the first agentic packaged application, Coveo for Agentforce, Coveo’s portfolio continues to grow with both managed and custom AI solutions powered by the Coveo AI-Relevance Platform.

The Coveo suite of APIs has been enhanced to include the Search API, Passage Retrieval API, the Case Classification API and the new Answer API, providing developers with more flexibility to build AI-powered experiences that are precise, secure, and business-aware.

Coveo is also launching an Agentic AI Design Partner Program to collaborate with enterprises. This program allows participants to share their technology needs and challenges while working directly with Coveo’s Product team to tackle the fundamental problems AI applications continue to face.

Coveo for Agentforce is available today in the AgentExchange. 

https://www.coveo.com/en/company/news-releases/2025/agenticai

MongoDB acquires Voyage AI

MongoDB, Inc., a database for modern applications, announced it has acquired Voyage AI, a provider of embedding and reranking models for AI applications. Integrating Voyage AI’s technology with MongoDB will enable organizations to easily build trustworthy, AI-powered applications by offering accurate and relevant information retrieval deeply integrated with operational data.

The risk of hallucinations has limited the use of AI applications for mission-critical use cases. These hallucinations typically occur when the AI model lacks sufficient understanding or context of data within an enterprise.

Companies need high-quality retrieval that ensures the most relevant information is extracted from their data with precision. Voyage AI’s advanced embedding and reranking models enable applications to extract meaning from specialized and domain-specific text and unstructured data—ranging from legal and financial documents to images, code, and enterprise knowledge bases. Their models are trusted by Anthropic, LangChain, Harvey, and Replit. Currently, Voyage AI’s embedding models are the highest-rated zero-shot models in the Hugging Face community. Voyage AI’s expertise in embedding models and retrieval architectures will enhance MongoDB’s AI capabilities to solve challenging problems with building and scaling AI applications.

Voyage AI’s embedding and reranking models will remain available through Voyage AI, AWS Marketplace, and Azure Marketplace.

https://www.mongodb.com/blog/post/redefining-database-ai-why-mongodb-acquired-voyage-ai

Perplexity introduces Sonar Pro API

With Perplexity’s Sonar and Sonar Pro API (the latter generally available to all developers starting today), you can build your own generative search capabilities powered with real-time, web-wide research and Perplexity features. We’re also expanding public access to advanced features like JSON mode and search domain filters for select usage tiers. 

The Sonar API is lightweight, affordable, fast, simple to use, and now includes citations and the ability to customize sources. It’s designed for companies who need to integrate lightweight question-and-answer features that are optimized for speed. 

For enterprises seeking more advanced capabilities, the Sonar Pro API can handle in-depth, multi-step queries with added extensibility, like double the number of citations per search as Sonar on average. Plus, with a larger context window, it can handle longer and more nuanced searches and follow-up questions. 

SimpleQA is the prevailing benchmark for factuality, designed to evaluate whether large language models can answer short, fact-seeking questions. Sonar Pro is a top-performing model on factuality because it combines the summarization power of LLMs with access to real-time information rather than relying on stored training data to answer questions.

https://docs.perplexity.ai/guides/getting-started

Elastic announces AI ecosystem to accelerate GenAI application development

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

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

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

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

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

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