支持千问大模型并使用它作为开发的默认模型

[Andy0898]

1.支持Qwen的embedding和llm
2.使用 QdRant_URL 作为向量数据库
3.使用db_load.py 加载数据到向量数据库
4.可以通过launch.json 启动app-file.py 进行测试

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[Copilot]

Pull Request Overview

This PR removes the legacy old_code scraping and retrieval modules to make way for the new Qwen-based default model and Qdrant integration.

• Deletes all legacy scraping utilities (expBackOffCrawl.py, example_usage.py, embedding.py, __init__.py, README.md)
• Removes old retrieval clients (Snowflake, Qdrant, Postgres, OpenSearch, Milvus)
• Cleans out the old_code directory entirely

Reviewed Changes

Copilot reviewed 91 out of 194 changed files in this pull request and generated no comments.

Show a summary per file

File	Description
old_code/scraping/expBackOffCrawl.py	Legacy crawler removed
old_code/scraping/example_usage.py	Legacy usage examples removed
old_code/scraping/embedding.py	Legacy embedding script removed
old_code/scraping/init.py	Package initialization removed
old_code/scraping/README.md	Legacy documentation removed
old_code/retrieval/snowflake_client.py	Legacy Snowflake client removed
old_code/retrieval/retriever.py	Legacy unified retriever removed
old_code/retrieval/qdrant_retrieve.py	Legacy Qdrant retrieval helper removed
old_code/retrieval/qdrant.py	Legacy Qdrant client removed
old_code/retrieval/postgres_client.py	Legacy Postgres client removed
old_code/retrieval/opensearch_client.py	Legacy OpenSearch client removed
old_code/retrieval/milvus_client.py	Legacy Milvus client removed

Comments suppressed due to low confidence (3)

[linjieli222]

related to #147