Added support for the HyDE method in quey analysis for RAG plates

[lanlanguai]

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Features Added the HyDE method for query-analysis in the RAG module, including an example for better understanding. Fixed the issue with the static methods in TestRAGEmbeddingFactory not being callable. The previous code passed static methods as parameters for parameterized testing, but static methods are not callable objects, leading to a TypeError. This was resolved by converting static methods to regular functions and defining them outside the class. Feature Docs No additional documentation provided.

Influence As an optional process in RAG, query-analysis will rewrite queries to enhance search results.

Result All unit tests for the new features have passed. The query-analysis process in the RAG module runs smoothly, effectively rewriting and optimizing queries for better search results. Other Added a detailed description of the changes and fixes made in the submission.

[codecov-commenter]

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Codecov Report

Attention: Patch coverage is 15.62500% with 27 lines in your changes missing coverage. Please review.

Project coverage is 55.66%. Comparing base (c0abe17) to head (2819b2e). Report is 12 commits behind head on main.

Files	Patch %	Lines
metagpt/rag/query_analysis/HyDE.py	0.00%	14 Missing :warning:
metagpt/rag/factories/HyDEQueryTransformFactory.py	0.00%	13 Missing :warning:

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Additional details and impacted files

@@             Coverage Diff             @@
##             main    #1413       +/-   ##
===========================================
+ Coverage   30.64%   55.66%   +25.01%     
===========================================
  Files         320      323        +3     
  Lines       19426    19458       +32     
===========================================
+ Hits         5954    10831     +4877     
+ Misses      13472     8627     -4845     

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[lanlanguai]

The configuration information and results from running the configurations with and without the HyDE method using metagpt/rag/benchmark/hotpotqa.py are as follows:

Model	Sample_Size	HyDE_Used	Exact_Match	F1_Score
deepseek	20	yes	0.1	0.289846
deepseek	20	no	0.1	0.265604
gpt4-o	20	yes	0.55	0.726190
gpt4-o	20	no	0.45	0.626190
gpt4-o	100	yes	0.6	0.752560
gpt4-o	100	no	0.57	0.741560

[geekan]

@better629