Development notes / backend · database · ai
Categorizador Backend
Django-based API for multimodal content management, integrating Neo4j for knowledge graphs and Weaviate for vector embeddings with local LLM support via Ollama.
Purpose
Organize multimodal content and explore it through relationships and similarity.
How it works
A Django API integrates Neo4j for knowledge graphs and Weaviate for vector embeddings. Ollama supports integration with local models.
Documented scope
The approach combines vector search with explicit relationships; results depend on the content and model used.
Summary based on the existing portfolio entry. No undocumented outcomes or metrics have been added.
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