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* FEATURE: HyDE-powered semantic search. It relies on the new outlet added on discourse/discourse#23390 to display semantic search results in an unobtrusive way. We'll use a HyDE-backed approach for semantic search, which consists on generating an hypothetical document from a given keywords, which gets transformed into a vector and used in a asymmetric similarity topic search. This PR also reorganizes the internals to have less moving parts, maintaining one hierarchy of DAOish classes for vector-related operations like transformations and querying. Completions and vectors created by HyDE will remain cached on Redis for now, but we could later use Postgres instead. * Missing translation and rate limiting --------- Co-authored-by: Roman Rizzi <rizziromanalejandro@gmail.com> |
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| .. | ||
| anthropic_completions.rb | ||
| discourse_classifier.rb | ||
| discourse_reranker.rb | ||
| function.rb | ||
| function_list.rb | ||
| hugging_face_text_generation.rb | ||
| openai_completions.rb | ||
| openai_embeddings.rb | ||
| stability_generator.rb | ||