Drupal & AI

This session explores how Drupal can evolve into an intelligent, AI-native platform by integrating cutting-edge AI capabilities. While the Drupal AI module already enables content generation using LLMs, this talk dives deeper into:

• 1. AI Agents: what are AI agents? (Tools like LangChain Agents, AutoGPT, etc.). Example: "Find all case studies on our site about green energy in India and summarize them for an executive brief."

  2. Vector Databases: What are vector embeddings? How are they different from keywords?

  3. RAG Architecture: Embedding + Retrieval + LLM. Why RAG is better than just sending long context into GPT?

  4. Prompt Engineering in Drupal: Focusing on building effective prompts

•  

What Attendees Will Learn

• 
  1. How Drupal AI module works and how to extend it.
• 2. How to build semantic search and RAG-powered features into Drupal.
• 3. How to integrate vector databases with Drupal content.
• 4. Real-world use cases: content assistants, smart search, and editorial agents.
• 5. Practical tips for prompt design, agent setup, and safe AI use in Drupal.

• Target Audience
• 
  1. Drupal developers and architects exploring AI.
•  

1. 1. Origins of AI in Drupal

   Early experiments and community-driven efforts

   Challenges in content generation and personalization

   How the Drupal AI ecosystem began to form

2. 2. The AI Module Landscape (Present Day)

   Overview of major AI-focused Drupal modules and their use cases

   Content creation (text/image)

   Auto-tagging and classification

   Personalization and recommendations

   Integration strategies with third-party AI services (OpenAI, HuggingFace, etc.)

3. 3. AI Agents in Drupal

   Predefined Agents: Out-of-the-box agents for content support, Q&A, and automation

   Custom Agents: Building entity-specific or contextual agents using LLMs and integrating with roles, workflows, or triggers

   Use cases: Editor assistants, chatbot interfaces, guided workflows

4. 4. Model Context Protocol (MCP) in Drupal

   What is MCP? How it enables smarter AI by feeding Drupal context dynamically

   Predefined MCP setups: Ready-made context processors

   Custom MCP implementations: Designing your own context layers to tailor model outputs

5. 5. The Road Ahead: New AI Initiatives in Drupal

   Introduction to the latest community and product-level AI efforts

   Future-proofing Drupal with scalable AI tooling

   Vision for modular, decoupled, and context-aware Drupal + AI systems

Dead Internet Theory, Dark Forest Theory, and a lot more seemingly "conspiracy theories" out there, are starting to make more and more sense.

Anyone who was alive either before the popularity or even the invention of the internet, would remember how momentous, the establishment of World Wide Web was. Your digital life became more important that the physical one, and your digital reputation was all that mattered. 

With the public launch of AI, the world seemingly changed overnight - and the internet pretty much died. 

Humans, became more similar to the rats in the medical experiment, who chose instant gratification and pleasure over sustenance and survival. 

In this session, I'll talk about the often overlooked aspects of AI - the negative impact. 

Relying too much on AI - is nothing short of being spoon-fed the solution - the same thing we tend to avoid at all costs when dealing with kids.