discourse-ai/lib/embeddings
Roman Rizzi 534b0df391
REFACTOR: Separation of concerns for embedding generation. (#1027)
In a previous refactor, we moved the responsibility of querying and storing embeddings into the `Schema` class. Now, it's time for embedding generation.

The motivation behind these changes is to isolate vector characteristics in simple objects to later replace them with a DB-backed version, similar to what we did with LLM configs.
2024-12-16 09:55:39 -03:00
..
strategies REFACTOR: Separation of concerns for embedding generation. (#1027) 2024-12-16 09:55:39 -03:00
vector_representations REFACTOR: Separation of concerns for embedding generation. (#1027) 2024-12-16 09:55:39 -03:00
entry_point.rb FEATURE: API scope for semantic search (#785) 2024-08-30 09:35:20 +10:00
schema.rb REFACTOR: Separation of concerns for embedding generation. (#1027) 2024-12-16 09:55:39 -03:00
semantic_related.rb REFACTOR: Separation of concerns for embedding generation. (#1027) 2024-12-16 09:55:39 -03:00
semantic_search.rb REFACTOR: Separation of concerns for embedding generation. (#1027) 2024-12-16 09:55:39 -03:00
semantic_topic_query.rb DEV: Add apply_modifier for SemanticTopicQuery topics list (#830) 2024-10-10 12:13:16 -05:00
vector.rb REFACTOR: Separation of concerns for embedding generation. (#1027) 2024-12-16 09:55:39 -03:00