I have set up the LLM, embedding, and persona features; however, my prompt is not providing the expected responses from the questions and answers or the available wiki resources within our community. Self-Hosted LLM: mistral:latest Self-Hosted Embedding: all-minilm:latest Persona: [image] [ima…

[Bild] viswanatha: Self-Hosted LLM: mistral:latest What exact Mistral model is this? [Bild] viswanatha: however, my prompt is not providing the expected responses Can you share the prompt? [Bild] viswanatha: [image] You can add Search as a “Forced Tool” for the first interact…

@Falco , The below are the details for tailing reply: What exact Mistral model is this? LLM Model : mistral:latest Link: The model at https://ollama.com/library/mistral:latest is: Mistral 7B v0.3 — a 7 billion parameter open-source model released by Mistral AI. Can you share the prompt? Sy…

[Bild] viswanatha: Mistral 7B v0.3 — a 7 billion parameter open-source model released by Mistral AI. I’m afraid a rehashed 2023 model won’t make the cut here. Also, from Ollama own documentation for this model, it only supports tool calling on the raw API, which is not what we use. Overall, …

Hi @Falco , and afraid, thank you for the Inputs. We will check and update you further.

@Falco Facing 502 error while enabling LLM. Please find the Logs below [image] [image] Message Unicorn worker received USR2 signal indicating it is about to timeout, dumping backtrace for main thread config/unicorn.conf.rb:203:in `backtrace' config/unicorn.conf.rb:203:in `block (2 levels) in r…

Set provider as OpenAI if you are using the OpenAI compatible API of Ollama.

@Falco I have tired with openAI provider still issue is persists. Message Unicorn worker received USR2 signal indicating it is about to timeout, dumping backtrace for main thread config/unicorn.conf.rb:203:in `backtrace' config/unicorn.conf.rb:203:in `block (2 levels) in reload' /var/www/discours…

Can your Discourse container access the service in the port 11434? If it’s running on the host you need to provide a way for the network cross the container boundary.

Yes, I was able access one of the LLM model ealier with same port with Discourse container

[Bild] Falco: Can your Discourse container access the service in the port 11434? If it’s running on the host you need to provide a way for the network cross the container boundary. Could you please help on this and may I know the minimum RAM requirment, where this LLM is running.

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viswanatha (P Viswanatha Reddy) 4. November 2025 um 19:33 10

Ja, ich konnte früher mit demselben Port über einen Discourse-Container auf eines der LLM-Modelle zugreifen.

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