Embedding Generation
pythonembeddingsnomic
768-dimensional embeddings for similarity search.
Changes
- EmbeddingGenerator using nomic-embed-text
- Embedding script for single images
- JSON array output format
Results
- 768-dim embeddings generated from analysis descriptions
- Ready for pgvector integration
- Semantic similarity search enabled
Sample embedding (first 5 dims):
[-0.00841117, 0.042269547, -0.17771065, -0.059619118, 0.024270566]