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Yes — point both providers at Ollama. Install Ollama, then: ollama serve
ollama pull llama3.2 nomic-embed-textIn CHAT_PROVIDER=ollama
EMBEDDING_PROVIDER=ollamaRestart |
Answered by
unusdon
Jun 19, 2026
Replies: 1 comment
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Yes — this works end-to-end. One thing to flag: |
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unusdon
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Yes — this works end-to-end. One thing to flag:
nomic-embed-textis 768-dim; the chunk column isvector(1536), so the embed module zero-pads to 1536 before insert. Cosine similarity in the padded space is mathematically equivalent to similarity in the 768-d subspace, so retrieval quality is preserved. Thellama3.2chat model handles citations well in our tests — make sureollama pullsucceeded for both models before starting the worker.