@@ -28,7 +28,7 @@ def mock_openai_embed_documents(self, texts: list[str], chunk_size: Optional[int
2828async def test_search_json (mocker ):
2929 mocker .patch ("langchain_community.embeddings.openai.OpenAIEmbeddings.embed_documents" , mock_openai_embed_documents )
3030
31- store = FaissStore (EXAMPLE_PATH / "data/example.json" )
31+ store = FaissStore (EXAMPLE_PATH / "data/search_kb/ example.json" )
3232 role = Sales (profile = "Sales" , store = store )
3333 query = "Which facial cleanser is good for oily skin?"
3434 result = await role .run (query )
@@ -39,7 +39,7 @@ async def test_search_json(mocker):
3939async def test_search_xlsx (mocker ):
4040 mocker .patch ("langchain_community.embeddings.openai.OpenAIEmbeddings.embed_documents" , mock_openai_embed_documents )
4141
42- store = FaissStore (EXAMPLE_PATH / "data/example.xlsx" )
42+ store = FaissStore (EXAMPLE_PATH / "data/search_kb/ example.xlsx" )
4343 role = Sales (profile = "Sales" , store = store )
4444 query = "Which facial cleanser is good for oily skin?"
4545 result = await role .run (query )
@@ -50,7 +50,7 @@ async def test_search_xlsx(mocker):
5050async def test_write (mocker ):
5151 mocker .patch ("langchain_community.embeddings.openai.OpenAIEmbeddings.embed_documents" , mock_openai_embed_documents )
5252
53- store = FaissStore (EXAMPLE_PATH / "data/example.xlsx" , meta_col = "Answer" , content_col = "Question" )
53+ store = FaissStore (EXAMPLE_PATH / "data/search_kb/ example.xlsx" , meta_col = "Answer" , content_col = "Question" )
5454 _faiss_store = store .write ()
5555 assert _faiss_store .storage_context .docstore
5656 assert _faiss_store .storage_context .vector_store .client
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