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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 https://gilbane.com/gilbane-advisor-index
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)
https://www.linkedin.com/pulse/rag-context-knowledge-graphs-kurt-cagle-smvmc
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)
https://www.nngroup.com/articles/ai-design-tools-not-ready
More Reading
- Follow up on LLMs and knowledge from last weeks issue… LLMs, knowledge graphs and property graphs via Dean Allemang
- Google Cloud’s Andi Gutmans: AI will run your databases while you sleep. All? via Runtime
- What is an AI PC? and When will the AI bubble burst? via Andrew Zuo
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.
https://investors.progress.com/news-releases/news-release-details/progress-announces-advanced-ai-capabilities-accelerate-delivery
Adobe introduces Frame.io 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.
https://news.adobe.com/news/news-details/2024/Adobe-Introduces-Next-Generation-of-Frame.io-to-Accelerate-Content-Workflow-and-Collaboration-for-Every-Creative-Project/default.aspx
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.
https://workspace.google.com/blog/product-announcements/new-generative-ai-and-security-innovations
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.
https://www.mongodb.com/press/mongo-db-expands-collaboration-with-google-cloud-at-google-next
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.
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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.
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 https://gilbane.com/gilbane-advisor-index
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)
https://medium.com/@dallemang/llms-and-knowledge-the-study-continues-593b22fa7c7f
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
- AI has an Uber problem “capital is not a strategy.” via O’Reilly Radar
- A helpful review of tools… Visualizing RDF via Bob DuCharme’s blog
- ChatGPT, Author of The Quixote Copyright isn’t the correct paradigm… legal doesn’t mean legitimate via Hugo Bowne-Anderson’s blog
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.
https://www.datastax.com/blog/datastax-acquires-langflow-to-accelerate-generative-ai-app-development ■ https://www.langflow.org
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.
https://www.nebula-graph.io/posts/enterprise_3.7_release
Searchspring acquires Intelligent Reach
Facilitates product discovery with semantic site search, flexible product merchandising, with business rules and AI-driven campaigns.
https://searchspring.com/news/searchspring-acquires-intelligent-reach/
Bridgeline releases Zeus Update with concept and image search
Smart Search’s concept search, image search & GenAI to enhance online shopping search functionality content creation and customer experience.
https://www.hawksearch.com/webinar/meet-zeus-hawksearchs-newest-release
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
Snippets from the Google Workspace blog…
Today we’re announcing the next wave of enhancements to Google Workspace, starting with Google Vids, our new AI-powered video creation app for work. Vids will sit alongside our other productivity tools like Docs, Sheets, and Slides. Vids is being released to Workspace Labs in June.
We’re also announcing two commercial offers that allow you to bring AI-powered meetings and messaging, as well as AI-powered security, to everyone in your organization, each for $10 per user, per month. In addition, Gemini is coming to Google Chat in preview, giving you an AI-powered teammate to summarize conversations, answer questions, and more. And finally, we’re making it easy for organizations to extend the power of their data and custom AI models by using Vertex AI with Workspace as a platform, enabling next-generation workflows that are built right into Docs, Gmail, and other Workspace apps.
By using Model Garden on Vertex AI, you can choose the right model for your needs from more than 130 options, and the Workspace add-on framework can allow you to bring that custom agent into the productivity apps you use everyday in Workspace, streamlining workflows, and enhancing team collaboration.
https://workspace.google.com/blog/product-announcements/new-generative-ai-and-security-innovations
Adobe introduced the all-new Frame.io V4, a creative collaboration platform that streamlines and simplifies workflows across content creation and production. Frame.io V4 is designed to meet the complex needs of creative teams delivering personalized content by centralizing feedback, helping to reduce rounds of revisions and accelerating the delivery of media assets. The next generation of Frame.io will begin to roll out today in beta for Frame.io Free and Pro customers, and is planned to launch later this year for Team and Enterprise customers.
With all-new workflow management capabilities, anchored by a dynamic metadata framework and smart folder system called Collections, V4 introduces a cloud-based platform that is customizable and flexible enough to facilitate any creative workflow. File transfer, media asset review and approval, sharing, and presentations have undergone a complete transformation in V4, offering users a platform for their most demanding creative projects.
Frame.io is integrated with Adobe Premiere Pro and Adobe After Effects and will be available in Adobe Photoshop for Creative Cloud Enterprise customers beginning in May, with support for more Creative Cloud tools, customer segments, and integration with Workfront coming later this year.
MongoDB, Inc. announced an expanded collaboration with Google Cloud to make it easier and more cost-effective to build, scale, and deploy generative AI applications using MongoDB Atlas Vector Search and Vertex AI from Google Cloud, along with additional support for data processing with BigQuery. The companies are also collaborating on new industry solutions for retail and manufacturing, with deeper product integrations and solutions to provide a seamless development environment for creating shopping experiences and data-driven applications for smart factories. For workloads that use highly sensitive data, MongoDB Enterprise Advanced (EA) is now available on Google Distributed Cloud (GDC).
- MongoDB Atlas Search Nodes on Google Cloud provide dedicated infrastructure for generative AI and relevance-based search workloads that use MongoDB Atlas Vector Search and MongoDB Atlas Search.
- A dedicated Vertex AI extension makes it easier to work with large language models (LLMs) without having to transform data or manage data pipelines between MongoDB Atlas and Google Cloud.
- Integration of Spark stored procedures with BigQuery improves automation, optimization, and reuse of data processing workflows between BigQuery and MongoDB Atlas for analytics, BI, and end-user applications.
https://www.mongodb.com/press/mongo-db-expands-collaboration-with-google-cloud-at-google-next
DataStax announced it has entered into a definitive agreement to acquire AI startup, Logspace, the creators of Langflow, an open source visual framework for building retrieval-augmented generation (RAG) applications.
Langflow makes it easier and faster for any developer, experienced or new, to build Generative AI applications using Python-based composable building blocks and pre-built components, which can be combined in numerous ways. With its easy-to-use, drag-and-drop visual environment and rapid iteration of data flows, Langflow makes it simpler for any developer to build LangChain-based RAG applications and deploy in one-click.
Developers benefit from a rich ecosystem that builds, shares, and reuses components with each other in the Langflow Store–a place to publish and search for components built by the community. With this, they can quickly test, reuse, and share flows to iterate on RAG applications with fine-grained control to dramatically speed up deployment and reduce hallucinations.
The combination of Langflow and DataStax creates a one-stop Generative AI application stack offering flexible deployment options, including integration with DataStax Astra DB, alongside a rich ecosystem of Python libraries, and integration with partners like LangChain. The Langflow team will operate independently, focusing on project innovation and community collaboration.
https://www.datastax.com/blog/datastax-acquires-langflow-to-accelerate-generative-ai-app-development ■ https://www.langflow.org
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