Steps to deploy a private language model locally on our company server so our proprietary data never leaves the building.
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Steps to deploy a private language model locally on our company server so our proprietary data never leaves the building.
1 real search · 1 real-search pass
official Ollama documentation Linux install model run API Open WebUI authentication security documentation vLLM production serving offline deploymentGoogle ↗
OBSERVEDInstruction
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
official Ollama documentation Linux install model run API Open WebUI authentication security documentation vLLM production serving offline deployment Google ↗
- ollama.com · ollama.com
- vLLM documentation · docs.vllm.ai
- Open WebUI · openwebui.com
- Ollama documentation · docs.ollama.com
- Open WebUI documentation · docs.openwebui.com
- pgvector documentation · github.com
- Linux Documentation · ollama.readthedocs.io
- Open WebUI · docs.vllm.ai
- Security · docs.vllm.ai