da9070ecf7
Remove deprecated storage backends and Kubernetes deployment configuration: - Delete unused storage implementations: FAISS, JSON, Memgraph, Milvus, MongoDB, Nano Vector DB, Neo4j, NetworkX, Qdrant, Redis - Remove Kubernetes deployment manifests and installation scripts - Delete legacy examples for deprecated backends - Consolidate to PostgreSQL-only storage backend Streamline dependencies and add new capabilities: - Remove deprecated code documentation and migration guides - Add full-text search caching layer with FTS cache module - Implement metrics collection and monitoring pipeline - Add explain and metrics API routes - Simplify configuration with PostgreSQL-focused setup Update documentation and configuration: - Rewrite README to focus on supported features - Update environment and configuration examples - Remove Kubernetes-specific documentation - Add new utility scripts for PDF uploads and pipeline monitoring
24 lines
534 B
Python
24 lines
534 B
Python
"""
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LightRAG caching infrastructure.
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This module provides caching implementations for various LightRAG components:
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- fts_cache: Full-text search result caching
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"""
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from .fts_cache import (
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get_cached_fts_results,
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store_fts_results,
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invalidate_fts_cache_for_workspace,
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FTS_CACHE_ENABLED,
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FTS_CACHE_TTL,
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FTS_CACHE_MAX_SIZE,
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)
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__all__ = [
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'get_cached_fts_results',
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'store_fts_results',
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'invalidate_fts_cache_for_workspace',
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'FTS_CACHE_ENABLED',
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'FTS_CACHE_TTL',
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'FTS_CACHE_MAX_SIZE',
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]
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