discourse-ai

Commit Graph

Author	SHA1	Message	Date
Roman Rizzi	f5cf1019fb	FEATURE: configurable embeddings (#1049 ) * Use AR model for embeddings features * endpoints * Embeddings CRUD UI * Add presets. Hide a couple more settings * system specs * Seed embedding definition from old settings * Generate search bit index on the fly. cleanup orphaned data * support for seeded models * Fix run test for new embedding * fix selected model not set correctly	2025-01-21 12:23:19 -03:00
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

Author

SHA1

Message

Date

Roman Rizzi

f5cf1019fb

FEATURE: configurable embeddings (#1049 )

* Use AR model for embeddings features

* endpoints

* Embeddings CRUD UI

* Add presets. Hide a couple more settings

* system specs

* Seed embedding definition from old settings

* Generate search bit index on the fly. cleanup orphaned data

* support for seeded models

* Fix run test for new embedding

* fix selected model not set correctly

2025-01-21 12:23:19 -03:00

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

2 Commits