Add unit tests for vector database implementation

[sweep-nightly]

Purpose

This pull request adds unit tests for the vector database implementation in the sweepai/core/vector_db.py file.

Description

The unit tests cover the following key functionalities of the vector database:

• Embedding functions: embed_text_array and openai_call_embedding
• Similarity search: cosine_similarity and multi_get_query_texts_similarity
• Caching: Verifying the caching behavior of the embed_text_array function
• Error handling: Testing the error handling in the openai_call_embedding function

Summary

The changes in this pull request include:

• Added a new file sweepai/core/vector_db_test.py for the unit tests
• Implemented test cases for the key functions in the vector database
• Utilized pytest and unittest.mock to set up the test environment and mock dependencies

Suggested changes from Sweep Chat by @kevinlu1248. Continue chatting at http://localhost:3000/c/b10a6c05-ad37-45e2-9d69-5626f19279c6.

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