discourse-ai/lib/modules/embeddings/vector_representations
Rafael dos Santos Silva 2c0f535bab
FEATURE: HyDE-powered semantic search. (#136)
* 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

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Co-authored-by: Roman Rizzi <rizziromanalejandro@gmail.com>
2023-09-05 11:08:23 -03:00
..
all_mpnet_base_v2.rb FEATURE: HyDE-powered semantic search. (#136) 2023-09-05 11:08:23 -03:00
base.rb FEATURE: HyDE-powered semantic search. (#136) 2023-09-05 11:08:23 -03:00
multilingual_e5_large.rb FEATURE: HyDE-powered semantic search. (#136) 2023-09-05 11:08:23 -03:00
text_embedding_ada_002.rb FEATURE: HyDE-powered semantic search. (#136) 2023-09-05 11:08:23 -03:00