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:
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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.