[Feautre] parser: MultiModal Parser Impl #59

✨ Feature Summary

Implement a multimodal parser that supports multiple modes (w/ & w/o LLM powered). With such parser, quantmind can easily convert the video / audio / images / text / file object to the ParserResult

# The mock parser result
class ParserResult(BaseModel):
	text: str
    images: Dict[str, bytes]

@bridgeqiqi I'd love for you to add the remaining parts! ✨ (feel free to remove useless parts)

🎯 Motivation

📋 Detailed Description

🔧 Proposed Implementation

API Design

# If applicable, show how you envision the API would look

Configuration

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🎨 User Experience

📊 Use Cases

1. Use Case 1:
2. Use Case 2:
3. Use Case 3:

🔗 Related Issues

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• Blocks #
• Depends on #

Implementation Considerations

Breaking Changes

• This feature would introduce breaking changes
• This feature is backward compatible

Dependencies

• Requires new dependencies
• Uses existing dependencies only

Checklist

• I have searched existing issues to avoid duplicates
• I have provided a clear and detailed description
• I have explained the motivation and use cases
• I have considered the implementation approach
• I have thought about potential breaking changes