Files indexed | Number of source files in the index |
Total chunks | Number of code chunks stored |
Last indexed | ISO timestamp of the most recent index run |
Index size | Disk usage of the vector index |
Provider | Embedding provider in use (local, openai, voyage, or gemini) |
Model | Embedding model identifier |
Dimensions | Vector dimensionality (384 for local, 1024/1536/3072 for cloud providers) |
Compute device | Hardware used for local embeddings (Metal, CUDA, or CPU) |
Min score | Active minimum similarity threshold for search_code |