The Gilbane Advisor

Curated for content, computing, and digital experience professionals

Adobe adds Firefly to Adobe Express App

Adobe announced that the all-new Adobe Express mobile app is available to all users, bringing features powered by Adobe Firefly generative AI directly into the hands of content creators. The new Adobe Express mobile app brings Adobe’s photo, design, video and generative AI capabilities into an all-in-one content editor, giving everyone the ability to produce high quality content on web and mobile.

Marketers can create explainer and promotional videos to launch new products or design on-brand social campaigns for multiple social channels. Small business owners can design logos and standout business cards, create digital flyers for online sales, edit photos and videos and schedule and publish content for their TikTok and Instagram channels directly in the app. Creative professionals can bring assets they design in Adobe Illustrator and Adobe Photoshop into Adobe Express and quickly create social posts for their clients’ e-commerce business.

The new Adobe Express mobile app is now available for free worldwide in many languages and on most Android and iOS devices. Android users can download the new Adobe Express mobile app from the Google Play store and iOS users can download it from The App Store. New users can register for an Adobe Express account.

NebulaGraph Enterprise v5.0 offers native GQL support

As a member of Linked Data Benchmark Council, Vesoft (NebulaGraph) participates in the formulation and promotion of GQL standards and announced its GQL native support in NebulaGraph Enterprise v5.0.

ISO/IEC released the international standard of Graph Query Language (GQL) on April 12th, 2024. This publication establishes the foundations for property graphs, covering their creation, maintenance, and control, along with the data they comprise. It also standardizes the data management language for outlining and modifying the structure of these graphs and their collections.

GQL standards help to ensure data portability and manipulation across GQL implementations, and compatibility with programming languages and database tools. It will foster a dynamic graph database ecosystem and lower the entry barrier for this technology, enabling more enterprises to effectively utilize graph databases for complex relational data.

Rather than just being compatible or adapted to GQL, NebulaGraph Enterprise v5.0 has been redesigned to support GQL at the overall architecture level: it is built on and designed for GQL for data compatibility and interoperability, thereby amplifying the business value of graph databases across various scenarios. Native support for GQL means that enterprises can directly benefit from enhanced interoperability, improved stability, enhanced security, and more cost-efficient maintenance.

ThoughtSpot renames and adds features to ThoughtSpot Everywhere

ThoughtSpot, an AI-powered analytics company, today announced a series of initiatives for developers and product builders to help their customers, partners, and employees with generative AI and embedded natural language search, including a new pricing edition, a Vercel Marketplace listing, support channels, and new courses and certifications. 

ThoughtSpot has renamed the embedded solution, previously known as ThoughtSpot Everywhere to ThoughtSpot Embedded, reflecting ThoughtSpot’s vision to make analytics invisible – seamlessly embedded into every data application and user workflow – and its business outcomes visible. New features and offerings include: 

  • Developer Edition. The new Developer Edition offers developers exploring ThoughtSpot in free trial an opportunity to try ThoughtSpot Embedded capabilities with their specific use case for free for 12 months.  
  • Vercel Marketplace Integration. The new app listing for ThoughtSpot enables developers to quickly embed ThoughtSpot’s AI-powered analytics into their apps via the Vercel Marketplace.
  • Discord Channel. Developers can ask ThoughtSpot Embedded subject matter experts technical questions and receive guidance in our Discord community.
  • New ThoughtSpot Embedded Courses and Certifications. ThoughtSpot University is releasing a new paid certification for ThoughtSpot Embedded, the ThoughtSpot Embedded Developer. The new certification is for developers looking to attain formal recognition of their skills and knowledge in AI-Powered Analytics with ThoughtSpot Embedded.

Gilbane Advisor 4-17-24 — KG LLM symbiosis, UX-design tools

This week we feature articles from Kurt Cagle, and Caleb Sponheim & Megan Brown.

Additional reading comes from Tom Krazit, Dean Allemang, and Andrew Zuo.

News comes from Progress Software, Adobe, Google Workspace, and MongoDB.

All previous issues are available at

Opinion / Analysis

RAG, context and knowledge graphs

“These factors combine to make knowledge graphs powerful tools for managing large language models, while at the same time LLMs can be used to simplify the process of querying these databases.”

Kurt Cagle does a nice job describing the relative strengths and weaknesses of LLMs and knowledge graphs, and explaining why the combo is a worthy goal. (8 min)

AI UX-design tools are not ready for primetime: status update

We hear a lot about 2024 being the year of deploying AI applications in production environments, and while this is directionally correct, it is not clear how quickly this will happen, or exactly where it will be successful.  

Caleb Sponheim and Megan Brown’s research finds that currently “designers use AI, just not for design”. We can expect to hear more statements of the form “X use AI, just not for X”. (6 min)

More Reading

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Content technology news

Progress releases Sitefinity 15.1

Introduces AI-powered conversion propensity scoring, content classification for faster content editing, and improved customer data modeling.

Adobe introduces V4

Integrations with Photoshop and Workfront streamline collaboration for Enterprise’s Content Supply Chain; as part of Adobe GenStudio can be combined with Express and Firefly.

Google enhances Google Workspace

Google Vids, our new AI-powered video creation app for work, will sit alongside our other productivity tools like Docs, Sheets, and Slides.

MongoDB expands collaboration with Google Cloud

Google Cloud Vertex AI extension for MongoDB Atlas and Spark integration with BigQuery simplifies building GenAI applications with proprietary data.

All content technology news

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

Subscribe | View online | Editorial policy | Privacy policy | Contact launches Insight Engine for Life Sciences, specialists in providing AI-powered language solutions to enterprises, today announced the launch of the Insight Engine for Life Sciences.

For the world of drug research and development, data is both a challenge to be managed and an opportunity. The ability to effectively and quickly mine scientific and biomedical content for developing new drugs and to design and operate clinical trials is critical. The complexity of the diverse data sources that researchers depend on makes integrating, standardizing and analyzing them both challenging. Commercial licensing and data access restrictions, as well as the lack of granularity and different taxonomies used by common search tools complicate the process.

Advanced AI technologies provide the capability to mine and aggregate scientific content, synthesize knowledge, extract relevant information & reveal hidden correlations, helping researchers quickly access and analyze a vast amount of relevant information coming from biomedical and scientific literature, including full texts, speeding up the discovery and development of new drugs and therapies. Insight Engine for Life Sciences supports multiple use cases, including competitive intelligence, clinical trial design optimization, intellectual property protection, and research intelligence.

Progress releases Sitefinity 15.1

Progress, a provider of infrastructure software, announced new capabilities and enhancements in the latest release of Progress Sitefinity. Building on existing AI support throughout the platform, Sitefinity 15.1 introduces AI-powered conversion propensity scoring, AI-powered content classification for faster content editing and improved customer data modeling, enabling higher ROI and productivity. Additionally, new support for ASP.NET Core in .NET 8 provides flexibility to engineering teams, enabling them to develop and deploy using any platform.

  • New AI Propensity Scoring for Conversions: Progress Sitefinity Insight customer data platform (CDP) automatically identifies high/medium/low segments for each conversion, helping to refine audience segmentation and activate users. New Sitefinity Insight features also include streamlined rules management for persona and lead scores, ​additional and enriched data export options, automatic tracking of outbound clicks and improvements to the chatbot-based Insightful Assistant.
  • AI-Assisted Content Classification: Integrated with the rich text editor and available for static content types, dynamic modules and media items, this new tool delivers AI suggestions for classification built upon existing taxonomy and can help hone content performance by increasing discoverability, reusability and relevance.
  • Page Editing Experience Enhancements: The exposed widget toolbox embedded in the new page editor improves page editing and accelerates publishing.

Gilbane Advisor 4-10-24 — KGs, RDBs & LLMs, AI & search

This week we feature articles from Dean Allemang, and Daniel Tunkelang.

Additional reading comes from Tim O’Reilly, Bob DuCharme, and Hugo Bowne-Anderson.

News comes from DataStax & Langflow, Vesoft NebulaGraph, Searchspring, and Bridgeline.

All previous issues are available at

Opinion / Analysis

LLMs and knowledge — the study continues

“… if we think that a knowledge graph and an LLM work better together than an LLM alone, we should do a bake-off; set up a problem for the LLM+Knowledge Graph to solve, and let the LLM+Relational Database work on the same problem. Collect the data from a few hundred runs, and see who does better, and by how much.”

Dean Allemang and Juan Sequeda did, and published their benchmark data on GitHub to encourage interested parties to join the effort. Neo4j’s Jesús Barrasa did so. Find out more about both… (10 min)

AI-powered search: embedding-based retrieval and retrieval-augmented generation (RAG)

Daniel Tunkelang: “When search application developers consider replacing a traditional search architecture with AI-powered search, they usually have two things in mind. The first is replacing bag-of-words representations with embeddings. The second is implementing retrieval-augmented generation (RAG), which typically combines embedding-based retrieval with generative AI. This post explains the main ideas of embedding-based retrieval and RAG, with an emphasis on the pitfalls awaiting the unwary.” (9 min)

More Reading

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Content technology news

DataStax acquires Langflow

To enable LangChain-based RAG application development for any developer, with visual workflows, reusable components, and one-click deploy. ■

NebulaGraph Enterprise v3.7.0 simplifies building knowledge graphs

Knowledge Graph Build simplifies knowledge graph construction, reduces costs, and enables the completion of knowledge graphs from data processing through a single platform.

Searchspring acquires Intelligent Reach

Facilitates product discovery with semantic site search, flexible product merchandising, with business rules and AI-driven campaigns.

Smart Search’s concept search, image search & GenAI to enhance online shopping search functionality content creation and customer experience.

All content technology news

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

Subscribe | View online | Editorial policy | Privacy policy | Contact

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