Access Innovations, Inc. released the Version 3.17 update for its Data Harmony software suite. The newest version of the software includes knowledge maps that illustrate the linkages between categories and terms in a taxonomy. The knowledge maps have color-coded legends that tie to main categories of terms within each taxonomy to make them easier to decipher at a glance.
Other improvements in Data Harmony Version 3.17 include a Google Gemini integration so that taxonomies can link to a GPT model for a generative AI conversational search. Also, a new online dictionary link allows an individual who is building a custom taxonomy to look up terms without having to leave the platform in which they are working.
The software focuses on improving the quality of LLMs (large language models). Once someone queries a GPT or generative predictive text system, that system queries the LLM. The system compiles words gathered from the LLM according to the algorithms in the GPT, so the results from AI are only as good as the quality of the LLM data. By focusing on that data, Access helps AI perform better with more accuracy and efficiency. The software categorizes knowledge assets to improve search precision.
Category: Enterprise search & search technology (Page 1 of 61)
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.
Perplexity, an AI answer engine, announced it will be integrating firmly.ai agentic ecommerce technology to scale access to Perplexity’s native shopping experience. This collaboration enables seamless purchases for all consumers and merchants of any size.
Consumers are increasingly using Perplexity to shop online. By embedding firmly.ai’s Agentic commerce platform, Perplexity empowers more users to complete their entire shopping journey, from product discovery to secure transaction, without leaving the platform. This streamlined solution not only shortens the purchase funnel but also solves latency, improving the consumer experience.
With a single integration to firmly.ai’s API, Perplexity can now connect to any e-commerce merchant. Merchants can tap into this new sales channel instantly while retaining their merchant of record (MOR) status, ensuring full control over transactions, customer relationships, and data. Merchants can access millions of potential customers while protecting the value of their brand. For more information and to apply to be part of the native marketplace, visit the firmly.ai site.
Bynder, a global provider of AI-powered enterprise DAM has announced its AI Agents, a suite of AI capabilities that will execute business-critical tasks such as content enrichment, discovery, transformation, and governance for strategic DAM deployments.
Powered by LLMs, Bynder’s AI Agents have the intelligence to deliver a higher degree of personalization and will understand the context and intent behind a user’s prompt to execute complex content management tasks.
Bynder’s Enrichment Agent can ‘see beyond the pixels’ to streamline business workflows to address business-specific needs and will help users extract information from assets and enrich those assets with meta-data based on user prompts more accurately. The Enrichment Agent will work together with Bynder’s Ecosystem Agent and 120+ pre-built integrations with upstream creative tools and downstream delivery platforms to create automated workflows.
Bynder’s Transformation Agent will help users modify and repurpose assets utilizing Gen-AI. Automating traditional asset editing tasks will enhance creative productivity, reduce content production costs, and accelerate time-to-market.
Bynder’s Governance Agent will enhance asset governance and compliance to ensure brand authenticity and safety. The Governance Agent will scan the web to identify expired, outdated, or non-compliant digital assets in seconds and can detect AI-generated content, providing clarity for brand compliance.
Algolia, an AI Search and Discovery solution, launched AI-powered Collections, enabling merchandisers and content curators to generate immersive product discoveries and experiences. Integrated into Algolia’s dashboard, Collections makes it easy to organize, customize, and deliver targeted online experiences.
Algolia’s Collections reduce choice overload, guide users through intuitive navigation, and improve search relevance. Collections help users find products or services faster, even with vague or inconsistent search terms, and enhance the overall search experience. They can also improve conversion rates, inventory visibility, and SEO performance.
A wide range of use cases can leverage Algolia’s Collections using the Merchandising Studio or Dashboard to craft, customize, and launch campaign-specific or thematic product groupings on demand.
- E-Commerce: Merchandisers and E-Commerce Managers can create curated product groupings based on themes.
- Education: Administrators can assemble related courses, resources, and materials into curated sets.
- Media & Entertainment: Programming Managers can curate videos, for example, into themed groups.
- Software Development and Customer Support: Collections can be used by product documentation specialists to organize and deliver tailored support content and documentation.
Algolia’s Collections takes advantage of Algolia’s Dynamic Re-Ranking (DRR), that automatically optimizes product rankings based on real-time consumer behavior. By ensuring the most relevant and engaging products surface first.
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, 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
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.
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.
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