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# What does this PR do? This change migrates the VectorDB id generation to Vector Stores. This is a breaking change for **_some users_** that may have application code using the `vector_db_id` parameter in the request of the VectorDB protocol instead of the `VectorDB.identifier` in the response. By default we will now create a Vector Store every time we register a VectorDB. The caveat with this approach is that this maps the `vector_db_id` → `vector_store.name`. This is a reasonable tradeoff to transition users towards OpenAI Vector Stores. As an added benefit, registering VectorDBs will result in them appearing in the VectorStores admin UI. ### Why? This PR makes the `POST` API call to `/v1/vector-dbs` swap the `vector_db_id` parameter in the **request body** into the VectorStore's name field and sets the `vector_db_id` to the generated vector store id (e.g., `vs_038247dd-4bbb-4dbb-a6be-d5ecfd46cfdb`). That means that users would have to do something like follows in their application code: ```python res = client.vector_dbs.register( vector_db_id='my-vector-db-id', embedding_model='ollama/all-minilm:l6-v2', embedding_dimension=384, ) vector_db_id = res.identifier ``` And then the rest of their code would behave, including `VectorIO`'s insert protocol using `vector_db_id` in the request. An alternative implementation would be to just delete the `vector_db_id` parameter in `VectorDB` but the end result would still require users having to write `vector_db_id = res.identifier` since `VectorStores.create()` generates the ID for you. So this approach felt the easiest way to migrate users towards VectorStores (subsequent PRs will be added to trigger `files.create()` and `vector_stores.files.create()`). ## Test Plan Unit tests and integration tests have been added. Signed-off-by: Francisco Javier Arceo <farceo@redhat.com> |
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routers | ||
routing_tables | ||
test_build_path.py | ||
test_context.py | ||
test_distribution.py | ||
test_inference_recordings.py | ||
test_library_client_initialization.py |