This project is not covered by Drupal’s security advisory policy.
This recipe provides an easy way to set up a Drupal-powered AI chatbot assistant using Retrieval-Augmented Generation (RAG) and Typesense Vector Search. It installs all required modules and basic configuration for a ready-to-use intelligent assistant.
Features
This recipe configures a Drupal site to serve as an AI chatbot interface capable of answering questions using context-aware retrieval from your site’s content. It integrates Typesense Vector Search to enable semantic understanding and similarity-based content lookup.
Additional Requirements
- A running Typesense server (v0.25 or later) with vector search enabled.
- Access to an LLM API (e.g., OpenAI, Anthropic, or compatible model endpoint) for text generation.
Recommended modules/libraries
- Search API Typesense module – provides the integration with the Typesense API.
- OpenAI module – allows connecting Drupal with LLMs for response generation.
- Search API – supports unified search index management.
Supporting this Module
If you find this project useful, please consider supporting its development by contributing to its issue queue on Drupal.org.
Supporting organizations:
Development and Maintenance
Project information
Minimally maintained
Maintainers monitor issues, but fast responses are not guaranteed.- Project categories: Artificial Intelligence (AI), Site search
- Created by robertoperuzzo on , updated
This project is not covered by the security advisory policy.
Use at your own risk! It may have publicly disclosed vulnerabilities.
