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

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(Created page with "* '''BGE-M3 Embedding Server''' - Semantic search embeddings via llama.cpp ** Port: 8094 (localhost only), Model: bge-m3-Q8_0.gguf Runs in Gallery_Container The embeddin...")
 
 
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* '''BGE-M3 Embedding Server''' - Semantic search embeddings via llama.cpp
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= OSGeo-Knowledge-Embedding-Server =
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** Port: 8094 (localhost only), Model: bge-m3-Q8_0.gguf
 
  
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Runs in [[Gallery_Container]]
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BGE-M3 embedding server for semantic search, running on [[Gallery_Container]].
  
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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.
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It provides local embeddings for [[Osgeo-library]] and other OSGeo AI/search tooling.
  
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'''Contact:''' ominiverdi (Lorenzo Becchi) or SAC channel
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== Model ==
  
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[[Category:Service]]
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Verified model file on <code>osgeo7-gallery</code>:
 +
 
 +
<pre>
 +
/home/ominiverdi/models/bge-m3-Q8_0.gguf
 +
</pre>
 +
 
 +
Model details:
 +
 
 +
* Model family: BGE-M3
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* Upstream: BAAI
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* Quantization: Q8_0
 +
* File size: 606 MB
 +
* Vector size: 1024 dimensions
 +
* Multilingual: supports 100+ languages
 +
 
 +
== Endpoint ==
 +
 
 +
The service listens on localhost only:
 +
 
 +
<pre>
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http://localhost:8094/embedding
 +
</pre>
 +
 
 +
Configured by [[Osgeo-library]] in:
 +
 
 +
<pre>
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/home/ominiverdi/github/osgeo-library/config.toml
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/home/ominiverdi/github/osgeo-library/config.example.toml
 +
</pre>
 +
 
 +
== Runtime ==
 +
 
 +
The service runs through llama.cpp / <code>llama-server</code>.
 +
 
 +
Startup script:
 +
 
 +
<pre>
 +
/home/ominiverdi/github/osgeo-library/servers/bge-m3-cpu.sh
 +
</pre>
 +
 
 +
The script uses:
 +
 
 +
<pre>
 +
/home/ominiverdi/llama.cpp/build/bin/llama-server
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/home/ominiverdi/models/bge-m3-Q8_0.gguf
 +
</pre>
 +
 
 +
It binds to:
 +
 
 +
<pre>
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127.0.0.1:8094
 +
</pre>
 +
 
 +
== Automatic startup ==
 +
 
 +
The service is started at reboot from the <code>ominiverdi</code> crontab:
 +
 
 +
<pre>
 +
@reboot cd ~/github/osgeo-library && nohup ./servers/bge-m3-cpu.sh >> ~/logs/bge-m3-cpu.log 2>&1 </dev/null
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</pre>
 +
 
 +
Related API startup entry:
 +
 
 +
<pre>
 +
@reboot ~/github/osgeo-library/servers/start-server.sh >> ~/logs/osgeo-library.log 2>&1
 +
</pre>
 +
 
 +
== Operations ==
 +
 
 +
Check listener status:
 +
 
 +
<pre>
 +
ss -ltnp | grep 8094
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</pre>
 +
 
 +
Expected listener:
 +
 
 +
<pre>
 +
127.0.0.1:8094
 +
</pre>
 +
 
 +
Check process status:
 +
 
 +
<pre>
 +
pgrep -af "llama-server.*8094|bge-m3"
 +
</pre>
 +
 
 +
Check health:
 +
 
 +
<pre>
 +
curl http://127.0.0.1:8094/health
 +
</pre>
 +
 
 +
Expected result:
 +
 
 +
<pre>
 +
{"status":"ok"}
 +
</pre>
 +
 
 +
Check from [[Osgeo-library]]:
 +
 
 +
<pre>
 +
cd /home/ominiverdi/github/osgeo-library
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/home/ominiverdi/github/osgeo-library/.venv/bin/python - <<'PY'
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import asyncio
 +
from doclibrary.servers.mcp import get_library_status
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async def main():
 +
    print(await get_library_status())
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asyncio.run(main())
 +
PY
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</pre>
 +
 
 +
Expected status includes:
 +
 
 +
<pre>
 +
Embedding server: OK
 +
Database: OK
 +
</pre>
 +
 
 +
View logs:
 +
 
 +
<pre>
 +
tail -f /home/ominiverdi/logs/bge-m3-cpu.log
 +
</pre>
 +
 
 +
Start manually:
 +
 
 +
<pre>
 +
cd /home/ominiverdi/github/osgeo-library
 +
nohup ./servers/bge-m3-cpu.sh >> ~/logs/bge-m3-cpu.log 2>&1 </dev/null &
 +
</pre>
 +
 
 +
Stop manually:
 +
 
 +
<pre>
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pkill -f "llama-server.*8094"
 +
</pre>
 +
 
 +
== Consumers ==
 +
 
 +
* [[Osgeo-library]]
 +
* [[LLM-based Chat Assistant]]
 +
 
 +
'''Contact:''' ominiverdi, Lorenzo Becchi, or SAC channel.
 +
 
 +
[[Category:Services]]
 +
[[Category:AI-Services]]

Latest revision as of 11:15, 5 June 2026

OSGeo-Knowledge-Embedding-Server

BGE-M3 embedding server for semantic search, running on Gallery_Container.

It provides local embeddings for Osgeo-library and other OSGeo AI/search tooling.

Model

Verified model file on osgeo7-gallery: 

/home/ominiverdi/models/bge-m3-Q8_0.gguf

Model details:

  • Model family: BGE-M3
  • Upstream: BAAI
  • Quantization: Q8_0
  • File size: 606 MB
  • Vector size: 1024 dimensions
  • Multilingual: supports 100+ languages

Endpoint

The service listens on localhost only: 

http://localhost:8094/embedding

Configured by Osgeo-library in: 

/home/ominiverdi/github/osgeo-library/config.toml
/home/ominiverdi/github/osgeo-library/config.example.toml

Runtime

The service runs through llama.cpp / llama-server.

Startup script: 

/home/ominiverdi/github/osgeo-library/servers/bge-m3-cpu.sh

The script uses: 

/home/ominiverdi/llama.cpp/build/bin/llama-server
/home/ominiverdi/models/bge-m3-Q8_0.gguf

It binds to: 

127.0.0.1:8094

Automatic startup

The service is started at reboot from the ominiverdi crontab: 

@reboot cd ~/github/osgeo-library && nohup ./servers/bge-m3-cpu.sh >> ~/logs/bge-m3-cpu.log 2>&1 </dev/null

Related API startup entry: 

@reboot ~/github/osgeo-library/servers/start-server.sh >> ~/logs/osgeo-library.log 2>&1

Operations

Check listener status: 

ss -ltnp | grep 8094

Expected listener: 

127.0.0.1:8094

Check process status: 

pgrep -af "llama-server.*8094|bge-m3"

Check health: 

curl http://127.0.0.1:8094/health

Expected result: 

{"status":"ok"}

Check from Osgeo-library: 

cd /home/ominiverdi/github/osgeo-library
/home/ominiverdi/github/osgeo-library/.venv/bin/python - <<'PY'
import asyncio
from doclibrary.servers.mcp import get_library_status
async def main():
    print(await get_library_status())
asyncio.run(main())
PY

Expected status includes: 

Embedding server: OK
Database: OK

View logs: 

tail -f /home/ominiverdi/logs/bge-m3-cpu.log

Start manually: 

cd /home/ominiverdi/github/osgeo-library
nohup ./servers/bge-m3-cpu.sh >> ~/logs/bge-m3-cpu.log 2>&1 </dev/null &

Stop manually: 

pkill -f "llama-server.*8094"

Consumers

Contact: ominiverdi, Lorenzo Becchi, or SAC channel.

Retrieved from "http://wiki.osgeo.org/w/index.php?title=OSGeo-Knowledge-Embedding-Server&oldid=136030"