update document preprocessor

[euphoria0-0]

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Summary of Pull Request

This PR includes Document Preprocessor for enhanced insert utilities.
To use this, new tool, named insert_document is added.
This will ensure reliable document retrieval and answers qualities without requiring extra user effort.

Background of Pull Request

In general, users send documents in various formats and qualities, RAG requires automatic / reliable preprocessing.
In practical, we needed to use enVector SDK to insert in bulk.

What Pull Request Changes

New Files:

srcs/adapter/document_preprocess.py

Updated Files:

srcs/server.py
srcs/adapter/__init__.py

Thanks for your contribution!

[Copilot]

Pull request overview

This PR introduces document preprocessing capabilities to enhance the enVector MCP server's insert utilities. The changes enable automatic preprocessing, chunking, and embedding of documents from file paths or text inputs, making document insertion more reliable and user-friendly.

Key Changes:

• Added DocumentPreprocessingAdapter for document loading, chunking, and preprocessing
• Introduced two new MCP tools: insert_documents_from_path and insert_documents_from_text
• Migrated from es2 to pyenvector SDK throughout the codebase

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 11 comments.

File	Description
srcs/adapter/document_preprocess.py	New adapter implementing document loading, language detection, and text chunking using LangChain
srcs/server.py	Added document preprocessor initialization and two new document insertion tools
srcs/adapter/envector_sdk.py	Updated import from es2 to pyenvector (ev)
srcs/adapter/init.py	Exported the new DocumentPreprocessingAdapter class

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