Semantic Search

AI evaluation in Drupal can turn into infrastructure work before the workflow is visible. DrupalForge’s template approach separates early testing from local setup, live projects, and production data. ...more

For Drupal teams exploring AI interfaces, the session offers a concrete way to maintain Drupal content governance while allowing agents to trigger structured components, tool calls, and forms. The proof of concept shifts the AI response layer from chatbot text to Drupal-rendered components controlled by site content and configured tools. ...more

TurboVec VDB Provider gives Drupal AI users a self-hosted option for semantic vector search, connecting the AI Search backend to a Dockerised TurboVec API rather than an external cloud service. Created by senior Drupal developer Nick Opris, the contributed module supports filtered vector search, metadata queries, pagination, optional bearer-token authentication, and DDEV-friendly local configuration. Its Drupal.org page also states that the project is not covered by Drupal’s security advisory policy, making the release useful for testing and evaluation while requiring caution before production use. ...more

A recent PreviousNext article expands on Daniel Veza's DrupalSouth Wellington 2026 presentation exploring semantic search and Retrieval-Augmented Generation workflows using OpenSearch. The session examined how vector embeddings, hybrid search strategies, and AI-generated responses can improve content discovery by understanding intent and context rather than relying solely on keyword matching. Drupal search architecture, OpenSearch tooling, and practical implementation considerations were central themes throughout the presentation. ...more

A Droptica blog compares five vector database options used in Drupal AI projects, highlighting differences in scale, stability and infrastructure. ...more

In her Specbee article, Priyanka Phukan explains why modern search is no longer about matching words but understanding meaning. The shift from keyword-based systems to AI-driven semantic search reflects how users actually search today—through questions, context, and intent. For enterprises managing complex content ecosystems, this evolution isn’t optional; it’s essential for accuracy, efficiency, and digital competitiveness ...more

In a detailed analysis, George Bonnici argues that vendors like Coveo charge enterprise prices for semantic search features that are now commoditized. He compares their high-cost model with an open-source stack using Drupal AI and Milvus—showing how organizations can achieve similar outcomes for 10% of the cost while gaining flexibility, control, and data sovereignty. ...more

In a new Specbee article, Priyanka Phukan explains why keyword‑driven SEO is no longer enough in an era shaped by AI summaries, local search signals, and intent‑based discovery. She outlines how relevance optimization—powered by AEO, GEO, and semantic SEO—creates more meaningful results for users and why Drupal’s structured content model makes it uniquely equipped to support modern search demands. ...more

In Part 4 of its Drupal AI Ecosystem series, OpenSense Labs details how to build semantic search in Drupal using PostgreSQL’s pgvector extension. The article by Harivansh Sharma outlines AI embeddings, vector storage, and integration with Drupal modules, enabling contextual search without external services. ...more

At the second Drupal AI Foundation webinar during Oaisys Conf, Akhil Babu demonstrated how semantic search and AI‑powered chatbots are now simple to implement in Drupal using the AI Search module. Here’s what the session covered. ...more

The next session in the Drupal AI Awareness Series at Oaisys 2025, led by Akhil Babu on November 12 (5–6 PM IST), will explore AI agents, tool orchestration, and real‑world automation. ...more

Following a focused BoF at DrupalCon Europe 2025, the Drupal community is charting the next phase of the Search API Typesense module. With proposals for schema recipes, better JS security handling, and potential Views support, the module is evolving into a flexible, AI-ready search solution for modern Drupal sites. ...more