Difference between revisions of "OSGeo-Knowledge-Embedding-Server"

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* '''BGE-M3 Embedding Server''' - Semantic search embeddings via llama.cpp
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''BGE-M3 Embedding Server''' - Semantic search embeddings via llama.cpp
** Port: 8094 (localhost only), Model: bge-m3-Q8_0.gguf
 
  
 
Runs in [[Gallery_Container]]
 
Runs in [[Gallery_Container]]
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 +
Only listens to localhost device, port: 8094, Model: bge-m3-Q8_0.gguf
  
 
The embedding model running on osgeo7-gallery is BGE-M3 (bge-m3-Q8_0.gguf), a multilingual model from BAAI supporting 100+ languages. It produces 1024-dimensional vectors and runs via llama-server on port 8094 (localhost only). The Q8_0 quantization keeps it light: 606 MB on disk, ~457 MB RAM, ~12ms per query.
 
The embedding model running on osgeo7-gallery is BGE-M3 (bge-m3-Q8_0.gguf), a multilingual model from BAAI supporting 100+ languages. It produces 1024-dimensional vectors and runs via llama-server on port 8094 (localhost only). The Q8_0 quantization keeps it light: 606 MB on disk, ~457 MB RAM, ~12ms per query.

Revision as of 10:00, 5 June 2026

BGE-M3 Embedding Server' - Semantic search embeddings via llama.cpp

Runs in Gallery_Container

Only listens to localhost device, port: 8094, Model: bge-m3-Q8_0.gguf

The embedding model running on osgeo7-gallery is BGE-M3 (bge-m3-Q8_0.gguf), a multilingual model from BAAI supporting 100+ languages. It produces 1024-dimensional vectors and runs via llama-server on port 8094 (localhost only). The Q8_0 quantization keeps it light: 606 MB on disk, ~457 MB RAM, ~12ms per query.

Contact: ominiverdi (Lorenzo Becchi) or SAC channel