[Update] add test for passing vector dimension in embedder config (#1196)

Co-authored-by: Deven Patel <deven298@yahoo.com>

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "embedchain"
-version = "0.1.65"
+version = "0.1.66"
 description = "Data platform for LLMs - Load, index, retrieve and sync any unstructured data"
 authors = [
     "Taranjeet Singh <taranjeet@embedchain.ai>",

tests/test_factory.py

@@ -35,7 +35,7 @@ class TestFactories:
             ("gpt4all", {}, embedchain.embedder.gpt4all.GPT4AllEmbedder),
             (
                 "huggingface",
-                {"model": "sentence-transformers/all-mpnet-base-v2"},
+                {"model": "sentence-transformers/all-mpnet-base-v2", "vector_dimension": 768},
                 embedchain.embedder.huggingface.HuggingFaceEmbedder,
             ),
             ("vertexai", {"model": "textembedding-gecko"}, embedchain.embedder.vertexai.VertexAIEmbedder),