Initial commit: RAG MCP Server with relationship graph
Features: - Vector search with Pinecone + Vertex AI embeddings - Document relationships (link, unlink, related, graph) - Auto-link with LLM analysis - Intelligent merge with Gemini Modular structure: - clients/: Pinecone, Vertex AI - tools/: core, relations, stats - utils/: validation, logging Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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utils/__init__.py
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utils/__init__.py
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"""Utility modules for RAG system."""
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from .validation import validate_content, validate_tag, validate_document_id
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from .logging import setup_logging, get_logger
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__all__ = [
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"validate_content",
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"validate_tag",
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"validate_document_id",
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"setup_logging",
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"get_logger"
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]
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