• Freedom to choose

  Organisations can select their preferred large language model, hosting environment, and AI provider. Supports enterprise policies on data residency, cost management, and ethical AI use.
• No-code, user-focused design

  Built to empower non-technical users, providing intuitive interfaces that let you create powerful applications without writing code, making advanced AI capabilities accessible to your team.
• Built in data storage

  Drupal already includes a place to store your content, and the AI works directly with it as a natural part of the platform.
• Ready-to-deploy solutions

  Drupal AI offers packaged, pre-configured tools designed to address common challenges, enabling teams to implement functionality quickly and efficiently, saving hours or even days of development and configuration.
• Transparency and trust

  Provides visibility into how models are used and decisions are made, reducing the “black box” effect that comes with many proprietary systems.
• Integration with existing systems

  Builds on Drupal’s modular architecture, allowing easy integration with CRM, analytics, and marketing automation platforms.
• Adapt and extend

  Rather than being limited by a vendor’s roadmap or pricing model, Drupal AI offers freedom to adapt and extend, align precisely with business goals.
• High pace of innovation

  Drupal AI benefits from a global community of developers and organisations contributing improvements, ensuring rapid evolution and shared best practice across industries.

Popular supported AI providers

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  Anthropic

  Brings you the Claude series, renowned for safe and highly effective large language models. Provides high-performance AI for text generation, conversation, and more, offering advanced capabilities and ethical AI practices.
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  DeepL

  DeepL is an AI-powered translation service that provides highly accurate, context-aware translations across multiple languages, and also offers tools for text refinement, terminology management, and integration into workflows for businesses and developers.
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  Google Gemini

  Google Gemini is Google’s family of large language models that enables organisations and developers to build advanced AI applications, including text generation, summarisation, translation, question answering, and conversational agents, with access to models that can be fine-tuned or adapted for specific use cases.
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  Open AI

  Allows you to leverage cutting-edge models like GPT-4, DALL-E, and Whisper. Whether it's text generation, image creation, or speech-to-text, OpenAI provides some of the most advanced AI capabilities available today.
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  Hugging Face

  Take advantage of Huggingface’s repository of over 1 million models to create highly custom applications. Whether you need Text Classification, Image Classification, or other advanced machine learning models, Huggingface provides cutting-edge solutions alongside the AI module family.
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  Microsoft Azure AI

  Integrate Microsoft’s AI and cognitive services directly into your Drupal site, allowing you to leverage capabilities such as natural language understanding, text generation, summarisation, translation, image recognition, and conversational AI within content workflows, forms and applications.
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  LiteLLM

  Lightweight and self-hostable service that provides a unified interface for various Large Language Models (LLMs). Allows you to use LiteLLM as an AI Provider in your Drupal application, enabling you to leverage the power of different LLMs through a single, consistent API.
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  Ollama

  Acts as a robust server solution for running local models, perfect for developers who need headless operations. Integrated with the AI module, it allows you to run and scale AI models without a GUI, making it ideal for production environments where efficiency and control are key.

Vector Database (VDB) Providers

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  Milvus

  An open-source vector database designed to store, search, and manage large-scale embedding vectors generated by AI models, enabling high-performance similarity search for applications such as recommendation systems, semantic search, image and video retrieval, and natural language understanding.
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  Pinecone

  A managed vector database service designed to handle embeddings from machine learning models, enabling efficient similarity search, semantic search, and recommendation systems at scale.
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  Postgres

  A powerful, open source object-relational database system with a strong reputation for reliability, feature robustness, and performance. It is supported already by the majority of cloud providers and can easily be run locally.
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  Azure AI Search

  Cloud-based service that combines traditional search with AI-powered semantic search. It allows you to store and query structured, unstructured, and vectorised data.