Category: Enterprise search & search technology (Page 1 of 63)

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.

Gilbane Advisor 9-16-26 — AI safety, content ledgers

September 16, 2026 / Frank Gilbane

Welcome to all the new subscribers that signed-up during our August break!

Featured articles from: Sayash Kapoor & Arvind Narayanan, and Michael Andrews.

Additional reading from: MIT, Elsa Sklavounou, Bob DuCharme, and Zach Wilson.

News from: Storyblok, Adobe, Algolia & Vercel, and Fimo.

Our next issue arrives 9/30/26.

All previous issues are available at https://gilbane.com/gilbane-advisor-index

Opinion / Analysis

The AI-as-Normal-Technology view of loss of control incidents

A middle ground between the cybersecurity and AI safety communities

Sayash Kapoor and Arvind Narayanan’s timely essay is a must-read for anyone trying to make sense of the variety and intensity of views on the safety of AI. Their analysis of the issues and proposed layered approach to achieving AI safety are comprehensive and practical. (56 min)

https://www.normaltech.ai/p/the-ai-as-normal-technology-view

Show me the work: Overcoming AI’s impostor syndrome

When AI is involved in content development, readers don’t know who the real author is. It’s time to offer traceability through version histories.

The well-deserved lack of trust in AI is a serious threat to its growth, though there will be increasing efforts to find solutions for different applications.Michael Andrews argues that for GenAI content applications, there is role for blockchain ledgers to track provenance and content changes. (3 min)

https://storyneedle.com/show-me-the-work-overcoming-ais-impostor-syndrome/

Content Technology News

Storyblok introduces Storyblok Agents, an AI-powered content operations layer built directly into the CMS

With Storyblok Agents, content teams have a conversational way to research and work with their content by asking to see content that is stale, duplicated, missing translations or needs more work, and act on that information in the same conversation.
https://www.storyblok.com/mp/introduces-storyblok-agents

Algolia and Vercel Partner to bring AI-powered search natively to the Vercel Marketplace

New native integration lets developers provision, deploy, and manage Algolia’s AI Search platform directly from Vercel with unified billing and no separate credentials to manage.
https://www.algolia.com/about/news/algolia-and-vercel-partner-to-bring-ai-powered-search-natively-to-the-vercel-marketplace ■ https://vercel.com

Adobe announces new capabilities in Acrobat

The Adobe Productivity Agent in Acrobat now transforms complex documents into understandable visuals, audio and presentations.
https://news.adobe.com/news/2026/09/adobe-productivity-agent-in-acrobat-now-transforms-complex-documents

Fimo launches autonomous websites, making AI code editable and self-improving

Use Claude Code, Codex, Cursor, or whatever you already use. Fimo turns the output into an editable, autonomous-ready website your whole team can manage.
https://fimo.ai

All content technology news

The Gilbane Advisor is authored by Frank Gilbane and is ad-free, cost-free, and curated for content, computing, data, web, and digital experience technology and information professionals. We publish recommended articles and content technology news. We do not sell or share personal data.

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Algolia and Vercel bring AI-powered search natively to the Vercel Marketplace

September 10, 2026 / NewsShark

Algolia, an AI Search and Retrieval platform, announced a native integration with Vercel, an agentic infrastructure platform where humans and agents build software together. The integration lets developers provision an Algolia application directly from the Vercel dashboard turning search into a single deployment step instead of a separate setup project.

From the Algolia listing on the Vercel Marketplace, developers click “Install” to trigger an OAuth handshake between the two platforms, replacing the need to create a separate Algolia account. A setup wizard then walks through selecting a hosting region, optionally activating the Algolia Crawler for a Vercel domain, and choosing a plan.

Once confirmed, Algolia provisions the application automatically, and its credentials are synced directly into the environment variables of the connected Vercel project. Usage is billed through the developer’s existing Vercel invoice rather than a separate Algolia one. The Algolia dashboard remains a single click away via Vercel SSO for teams that want to browse indices, tune relevance, or configure the crawler.

Vercel’s Marketplace supports two integration models: connectable-account integrations, which link Vercel to an account a developer already holds elsewhere, and native integrations, which are provisioned and managed directly from the Vercel dashboard, with billing consolidated into the developer’s existing Vercel account.

https://www.algolia.com/about/news/algolia-and-vercel-partner-to-bring-ai-powered-search-natively-to-the-vercel-marketplace

Access Innovations releases DH Web and Data Harmony 3.18 updates

June 23, 2026 / NewsShark

Access Innovations, Inc. released DH Web, the first fully web-supported version of Data Harmony, as well Version 3.18 of the software. DH Web has several features designed to make it seamless to use. Its top navigation provides more workspace and is easier to navigate. Intuitive, active icons link directly to their functions instead of requiring multiple steps, and picklist fields are selectable. It allows easier saving of compliant terms without spaces and broader terms are all displayed with their hierarchical relationships.

DH Web features a flexible layout including screens that automatically resize or can be resized by the user. In addition, it can be operated in dark mode and features a modernized look across all pages. Use of the DH web help menu does not change or affect current work in progress. Help requests go directly to multiple members of Access Innovations’ support team for a faster response.

Data Harmony software version 3.18 is responsive to the needs of AI. It includes improvements that make it easier to create a duplicate project (clone) or rebuild a project. In addition, the software accommodates easier reindexing and parsing of terms as well as changing of non-preferred terms.

https://www.accessinn.com/2026/06/23/access-innovations-inc-releases-full-web-version-of-award-winning-data-harmony-software-suite-and-announces-version-3-18-updates/

Optimizely launches full AEO platform

June 10, 2026 / NewsShark

Optimizely, a digital experience platform (DXP) provider, launched its full AEO platform, offering enterprise marketers a comprehensive suite of AI visibility tools and the pre-built agents to act on those insights autonomously. The launch introduces Agent Visibility Analytics from Optimizely and a new partnership between Optimizely and Conductor, an enterprise AEO platform. Together, Optimizely and Conductor are bringing log-based AI traffic data, GEO and AEO intelligence, and agents into a single platform.

Optimizely’s AEO platform gives enterprise marketers a one-stop-shop for AI-driven discovery. The platform helps teams understand how their brand appears across AI-generated answers and compares to competitors in LLMs, analyze how AI agents and crawlers interact with their content, and identify opportunities to improve content coverage, technical hygiene and overall discoverability. Marketers can evaluate AI discovery from multiple angles, including citations, mentions, search performance, crawl behavior, referral activity and page-level visibility trends.

Optimizely now brings Agent Visibility Analytics, built inside Optimizely Analytics to provide direct visibility into observed AI request activity using factual, log-level data from an organization’s site rather than inferred or modeled behavior. Teams can analyze how AI agents interact with their content by intent, content type, metadata and other business dimensions.

https://www.optimizely.com/company/press/conductor-partnership-and-aeo-platform-launch ■ https://www.conductor.com

MongoDB releases MongoDB 8.3

May 7, 2026 / NewsShark

MongoDB, Inc. announced new capabilities to deliver a unified AI data platform that gives enterprises what they need to run agents in production: a real-time database, full text and vector search, memory, embeddings, and reranker models, all in one platform.

MongoDB 8.3, available today, delivers significantly more reads, more writes, more ACID transactions, and more complex operations over MongoDB 8.0, without changing a line of application code.

Cross-region connectivity for AWS PrivateLink, now generally available, ensures that database traffic between MongoDB Atlas clusters in different AWS regions stays on the AWS private network, with no exposure to the public internet.

With Automated Voyage AI Embeddings in MongoDB Vector Search, now in public preview, embeddings are now generated automatically as data is written or updated to give agents accurate, real-time context.

Agents without memory can’t learn, improve, or be trusted. The LangGraph.js Long-Term Memory Store, now generally available, gives JavaScript and TypeScript developers persistent, cross-conversation agent memory that Python developers have had, powered by MongoDB Atlas, as a single backend, with no additional database required.

MongoDB runs across Amazon Web Services (AWS), Google Cloud, Microsoft Azure, on-premises, and in hybrid environments. Customers get one database, one API, and one set of skills that work consistently wherever they deploy.

https://investors.mongodb.com/news-releases/news-release-details/mongodb-makes-enterprise-ai-production-ready

Otter. ai launches enterprise Conversational Knowledge Engine

April 28, 2026 / NewsShark

Otter.ai announced the launch of a new Conversational Knowledge Engine, a platform to connect conversations across teams and time, turning what’s said in meetings into structured, searchable knowledge that can drive agentic actions automatically. The launch is supported by three new product capabilities, an expanded MCP server, AI Chat and Otter for Desktop.

The Conversational Knowledge Engine solves a long-standing gap in enterprise software where the decisions, context, and intent of conversational data are lost the moment a meeting ends. Otter.ai’s proprietary Conversational Knowledge Engine can be broken down into three connected ideas:

Conversational. Mapped to meetings and voice, where the majority of enterprise knowledge is actually created.
Knowledge. A longitudinal knowledge graph (a continuously growing record of conversations over time), connecting thousands of conversations across thousands of people over time, linking decisions to who made them, the context around them, and the workflows that depend on them.
Engine. Puts that graph to work through conversational agentic workflows, where conversations become the trigger for automated action across the enterprise.

All new features are available today.

https://otter.ai/blog/otter-ai-evolves-from-ai-notetaker-to-create-100b-enterprise-conversational-knowledge-engine-market

Progress Software updates Sitefinity Generative CMS

March 31, 2026 / NewsShark

Progress Software, a provider of AI-powered digital experience and infrastructure software, announced the latest release of Progress Sitefinity Generative CMS. The release enables organizations to operationalize generative AI across websites, portals and digital experiences—supporting AI-powered search, conversational interfaces and personalized content delivery within a governed, enterprise-ready framework.

Sitefinity Generative CMS includes AI‑native capabilities:

Hyper-Personalization: Dynamically Generated Experiences enable real-time, AI-driven personalization by combining behavioral journey and contextual signals from the Sitefinity Insight Customer Data Platform, tailoring interactions to individual users. The Observability Intent Grid allows visualization and audits of AI-driven decisions.
AI Agents Embedded in the CMS: AI agents accelerate production and support consistency across the digital experience lifecycle. The Brand Agent protects and reinforces the organization’s voice and provides guidance to maintain tone, style and brand standards across content. The SEO Agent analyzes content and metadata enhancing visibility across traditional and generative search experiences.
SEO Readiness: Sitefinity CMS enables definition of Schema.org JSON‑LD structured data for all pages and content types, making enterprise content immediately discoverable by crawlers, generative search tools and AI engines.
AI Search and Conversational Experiences: Integrated Progress Agentic RAG enables AI-driven search, knowledge discovery and conversational experiences across enterprise content within Sitefinity CMS.

https://investors.progress.com/news-releases/news-release-details/progress-software-delivers-sitefinity-generative-cms-ai-driven

Elastic adds high-precision multilingual reranking to new Elastic Inference Service

February 3, 2026 / NewsShark

Elastic, a Search AI Company, made two Jina Rerankers available on Elastic Inference Service (EIS), a GPU-accelerated inference-as-a-service that makes it easy to run fast, high-quality inference without complex setup or hosting. These rerankers bring low-latency, high-precision multilingual reranking to the Elastic ecosystem.

Rerankers improve search quality by reordering results based on semantic relevance, helping surface the most accurate matches for a query. They improve relevance across aggregated, multi-query results, without reindexing or pipeline changes. This makes them valuable for hybrid search, RAG, and context-engineering workflows where better context boosts downstream accuracy. The two new Jina reranker models are optimized for different production needs:

Jina Reranker v2 (jina-reranker-v2-base-multilingual)
Built for scalable, agentic workflows.

Low-latency inference with strong multilingual performance.
Ability to select relevant SQL tables and external functions that best match user queries..
Scores documents independently to handle arbitrarily large candidate sets.

Jina Reranker v3 (jina-reranker-v3)
Optimized for high-precision shortlist reranking.

Optimized for low-latency inference and efficient deployment in production settings.
Strong multilingual performance; maintains stable top-k rankings under permutation.
Cost-efficient, cross-document reranking: v3 reranks up to 64 documents together in a single inference call, reasoning across the full candidate set to improve ordering when results are similar or overlapping.

https://ir.elastic.co/news/news-details/2026/Elastic-Adds-High-Precision-Multilingual-Reranking-to-Elastic-Inference-Service-with-Jina-Models/default.aspx