Sweep: add docstrings to vector_db.py (✓ Sandbox Passed)

[sweep-nightly]

Description

This pull request adds docstrings to the vector_db.py module in the Sweep AI system.

Summary

• Added docstrings to vector_db.py
• Created VectorDatabase class with methods for interacting with a vector database
• Created VectorIndex class for managing indexing of vector data
• Added connect_to_vector_db function for establishing a connection to the vector database

Fixes #3142.

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[sweep-nightly]

Rollback Files For Sweep

• Rollback changes to sweepai/vector_db.py

This is an automated message generated by Sweep AI.

[sweep-nightly]

Apply Sweep Rules to your PR?

• Apply: We should use loguru for error logging. If the log is inside an exception, use logger.exception to add tracebacks, where logger is imported from loguru. Use f-strings for string formatting in logger calls (e.g. logger.info(f'Hello {name}') instead of logger.info('Hello {name}', name=name)).
• Apply: There should be no debug log or print statements in production code.
• Apply: All functions should have parameters and output annotated with type hints. Use list, tuple and dict instead of typing.List, typing.Tuple and typing.dict.
• Apply: Leftover TODOs in the code should be handled.
• Apply: All new business logic should have corresponding unit tests in the same directory. For example, sweepai/api_test.py tests sweepai/api.py. Use unittest and unittest.mock as required.
• Apply: Any clearly inefficient or repeated code should be optimized or refactored.
• Apply: Remove any comments before code that are obvious. For example # this prints hello world; print('hello world').

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Name	Status	Preview	Comments	Updated (UTC)
sweep-docs	✅ Ready (Inspect)	Visit Preview	💬 Add feedback	Mar 9, 2024 7:11am