JDSS/mem0
2
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Add Together embedder to TS SDK (#5989)

Browse Source 
Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>
This commit is contained in:
Jaco-Ren
2026-07-06 20:24:14 +05:30
committed by GitHub
co-authored by kartik-mem0
parent b0bee551cb
commit 4c974c8fa8
10 changed files with 233 additions and 24 deletions
Download Patch File Download Diff File Expand all files Collapse all files
tests/embeddings/test_together_embeddings.py
+30 -10
View File
@@ -5,6 +5,9 @@ import pytest
from mem0.configs.embeddings.base import BaseEmbedderConfig
from mem0.embeddings.together import TogetherEmbedding
DEFAULT_MODEL = "intfloat/multilingual-e5-large-instruct"
DEFAULT_EMBEDDING_DIMS = 1024
@pytest.fixture
def mock_together_client():
@@ -15,7 +18,7 @@ def mock_together_client():
def test_embed_text(mock_together_client):
config = BaseEmbedderConfig(model="togethercomputer/m2-bert-80M-8k-retrieval", embedding_dims=768)
config = BaseEmbedderConfig(model=DEFAULT_MODEL, embedding_dims=DEFAULT_EMBEDDING_DIMS)
embedder = TogetherEmbedding(config)
mock_together_client.embeddings.create.return_value = Mock(data=[Mock(embedding=[0.1, 0.2, 0.3, 0.4, 0.5])])
@@ -23,14 +26,12 @@ def test_embed_text(mock_together_client):
text = "Sample text to embed."
embedding = embedder.embed(text)
mock_together_client.embeddings.create.assert_called_once_with(
model="togethercomputer/m2-bert-80M-8k-retrieval", input=text
)
mock_together_client.embeddings.create.assert_called_once_with(model=DEFAULT_MODEL, input=text)
assert embedding == [0.1, 0.2, 0.3, 0.4, 0.5]
def test_embed_batch_single_call(mock_together_client):
config = BaseEmbedderConfig(model="togethercomputer/m2-bert-80M-8k-retrieval", embedding_dims=768)
config = BaseEmbedderConfig(model=DEFAULT_MODEL, embedding_dims=DEFAULT_EMBEDDING_DIMS)
embedder = TogetherEmbedding(config)
mock_item0 = Mock(index=0, embedding=[0.1, 0.2, 0.3])
@@ -40,14 +41,12 @@ def test_embed_batch_single_call(mock_together_client):
texts = ["First text.", "Second text."]
embeddings = embedder.embed_batch(texts)
mock_together_client.embeddings.create.assert_called_once_with(
model="togethercomputer/m2-bert-80M-8k-retrieval", input=texts
)
mock_together_client.embeddings.create.assert_called_once_with(model=DEFAULT_MODEL, input=texts)
assert embeddings == [[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]]
def test_embed_batch_empty_list(mock_together_client):
config = BaseEmbedderConfig(model="togethercomputer/m2-bert-80M-8k-retrieval", embedding_dims=768)
config = BaseEmbedderConfig(model=DEFAULT_MODEL, embedding_dims=DEFAULT_EMBEDDING_DIMS)
embedder = TogetherEmbedding(config)
result = embedder.embed_batch([])
@@ -57,7 +56,7 @@ def test_embed_batch_empty_list(mock_together_client):
def test_embed_batch_count_mismatch_raises(mock_together_client):
config = BaseEmbedderConfig(model="togethercomputer/m2-bert-80M-8k-retrieval", embedding_dims=768)
config = BaseEmbedderConfig(model=DEFAULT_MODEL, embedding_dims=DEFAULT_EMBEDDING_DIMS)
embedder = TogetherEmbedding(config)
mock_item0 = Mock(index=0, embedding=[0.1, 0.2, 0.3])
@@ -65,3 +64,24 @@ def test_embed_batch_count_mismatch_raises(mock_together_client):
with pytest.raises(ValueError, match="returned 1 embeddings for 2 texts"):
embedder.embed_batch(["first text", "second text"])
def test_default_config_applies_together_defaults(mock_together_client):
embedder = TogetherEmbedding(BaseEmbedderConfig())
assert embedder.config.model == DEFAULT_MODEL
assert embedder.config.embedding_dims == DEFAULT_EMBEDDING_DIMS
def test_explicit_config_overrides_defaults(mock_together_client):
# The `config.x or default` wiring must honor user-provided values, not clobber them.
config = BaseEmbedderConfig(model="BAAI/bge-base-en-v1.5", embedding_dims=768)
embedder = TogetherEmbedding(config)
assert embedder.config.model == "BAAI/bge-base-en-v1.5"
assert embedder.config.embedding_dims == 768
# ...and the chosen model actually reaches the Together API call.
mock_together_client.embeddings.create.return_value = Mock(data=[Mock(embedding=[0.0] * 768)])
embedder.embed("hello")
mock_together_client.embeddings.create.assert_called_once_with(model="BAAI/bge-base-en-v1.5", input="hello")