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

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Co-authored-by: Deven Patel <deven298@yahoo.com>
This commit is contained in:
Deven Patel
2024-01-19 23:38:09 +05:30
committed by GitHub
parent 0b5b12575a
commit 9afc6878c8
2 changed files with 2 additions and 2 deletions
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2
pyproject.toml
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@@ -1,6 +1,6 @@
[tool.poetry] [tool.poetry]
name = "embedchain" name = "embedchain"
version = "0.1.65" version = "0.1.66"
description = "Data platform for LLMs - Load, index, retrieve and sync any unstructured data" description = "Data platform for LLMs - Load, index, retrieve and sync any unstructured data"
authors = [ authors = [
"Taranjeet Singh <taranjeet@embedchain.ai>", "Taranjeet Singh <taranjeet@embedchain.ai>",

2
tests/test_factory.py
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@@ -35,7 +35,7 @@ class TestFactories:
("gpt4all", {}, embedchain.embedder.gpt4all.GPT4AllEmbedder), ("gpt4all", {}, embedchain.embedder.gpt4all.GPT4AllEmbedder),
( (
"huggingface", "huggingface",
{"model": "sentence-transformers/all-mpnet-base-v2"}, {"model": "sentence-transformers/all-mpnet-base-v2", "vector_dimension": 768},
embedchain.embedder.huggingface.HuggingFaceEmbedder, embedchain.embedder.huggingface.HuggingFaceEmbedder,
), ),
("vertexai", {"model": "textembedding-gecko"}, embedchain.embedder.vertexai.VertexAIEmbedder), ("vertexai", {"model": "textembedding-gecko"}, embedchain.embedder.vertexai.VertexAIEmbedder),