The AI module for Alfresco Community extends the capabilities of a standard content repository by integrating local language models to support content analysis and processing tasks. It is designed to assist users in working with large volumes of documents by automating selected activities such as classification, summarization, and content-based search.
The system supports automatic document summarization, intelligent tagging, document classification, and contextual querying of content. OCR functionality is included, allowing the module to process scanned documents without an existing text layer.
The module is built on a set of open-source components, including Alfresco AI Framework, Elasticsearch, Ollama, Open WebUI, and ADF. All services are deployed as independent microservices, enabling modular deployment, scalability, and straightforward integration with existing IT environments. Language models run locally and do not require access to external cloud services.
In practice, the module is used for tasks such as auto-filling forms based on scanned document content, detecting missing elements (e.g. signatures, stamps, or required fields), and enabling natural language interaction with document repositories.
A built-in feedback loop mechanism allows the system to learn from user input and gradually adapt its behavior to organizational needs. The module supports multilingual content and is designed for use in environments where data privacy and processing control are essential.