2858e0a344
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>
28 lines
686 B
Python
28 lines
686 B
Python
"""Pinecone client singleton."""
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from pinecone import Pinecone
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from config import PINECONE_API_KEY, PINECONE_INDEX_NAME
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from utils.logging import get_logger
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logger = get_logger(__name__)
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# Pinecone singleton
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_pc_client = None
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_index = None
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def get_index():
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"""
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Get Pinecone index instance (singleton pattern).
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Returns:
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Pinecone index instance
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"""
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global _pc_client, _index
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if _index is None:
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logger.info("Initializing Pinecone client")
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_pc_client = Pinecone(api_key=PINECONE_API_KEY)
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_index = _pc_client.Index(PINECONE_INDEX_NAME)
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logger.info(f"Connected to Pinecone index: {PINECONE_INDEX_NAME}")
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return _index
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