Curated for content, computing, and digital experience professionals

Day: April 10, 2024

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

All Gilbane Advisor issues

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.

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