This topic covers the configuration of the Embeddings module of the Discourse AI plugin.
The Embeddings modules can automatically generate embeddings of every new post in your Discourse instance. Those are used by our semantic features, like semantic suggested topics and semantic topic search.
When configured, this module will add a “Related Topics” section to the bottom of all topic pages, where topics who are similar to the current page will be linked, helping users find related discussions to what they are currently reading on:
ai_embeddings_enabled: Enables or disables the module
ai_embeddings_discourse_service_api_endpoint: URL where the API is running for the module. If you are using CDCK hosting this is automatically handled for you. If you are self-hosting check the self-hosting guide.
ai_embeddings_discourse_service_api_key: API key for the API configured above. If you are using CDCK hosting this is automatically handled for you. If you are self-hosting check the self-hosting guide.
ai_embeddings_models: Every model enabled here be used to generate embeddings from user posts.
ai_embeddings_semantic_suggested_model: Model that will be used to semantic suggested topics. Model picked here must be enabled in the ai_embeddings_models setting too.
ai_embeddings_generate_for_pms: If PMs should also have embeddings generated automatically when created.
ai_embeddings_semantic_related_topics_enabled: Shows related topics at the bottom of the topic page. This will add an extra block between the topic last post and the suggested topics with topics who are semantic related to the current topic.
ai_embeddings_pg_connection_string: Database connection string for the PostgreSQL instance that will store embeddings. If you are using CDCK hosting this is automatically handled for you. If you are self-hosting check the self-hosting guide.
ai_openai_api_key: OpenAI API key. Necessary if you want to use OpenAI to generate embeddings. If so, don’t forget to pick text-embedding-ada-002 in ai_embeddings_models and in ai_embeddings_semantic_suggested_model.