The goal of this training is to prepare participants to effectively leverage artificial intelligence within the Alfresco Community environment. The training covers:
- Overview of AI architecture in the Alfresco environment
- Applications of AI in document management (classification, summarization, OCR, RAG, contextual search)
- Working with local AI models and their configuration (Ollama, Qwen, mxbai-embed-large, mDeBERTa)
- Integrating AI with the repository – data synchronization, indexing, metadata management
- Using Open WebUI as an interface for interacting with language models
- Elasticsearch as a vector knowledge base – semantic search and embedding management
- Building processing pipelines and integrating with the OpenAI API
- Practical use of AI in daily tasks – tag suggestions, content analysis, classification
- Feedback loop – improving models based on user input
- Challenges and common issues – model selection, classification errors, handling incomplete data
- Communicating with external systems – REST APIs, model calls
- Monitoring AI operations – token analysis, results, error logging, and process optimization