hsparks.codes d9a24f4fdc feat: Add hierarchical retrieval architecture for production-grade RAG ... Implements three-tier retrieval system to address scalability and precision limitations in production environments with large document collections. Features: - Tier 1: Knowledge Base Routing (auto/rule-based/llm-based) - Tier 2: Document Filtering (metadata-based) - Tier 3: Chunk Refinement (vector search with parent-child support) Changes: - Add HierarchicalRetrieval class with configurable retrieval pipeline - Add hierarchical_retrieval_config field to Dialog model - Add database migration for new configuration field - Add comprehensive unit tests (35 tests, all passing) Fixes #11610		2025-12-03 11:16:24 +01:00
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joint_services	Move api.settings to common.settings (#11036)	2025-11-06 09:36:38 +08:00
services	Feat: RAG evaluation (#11674)	2025-12-03 17:00:58 +08:00
__init__.py	Fix: GraphRAG and RAPTOR tasks do not affect document status (#11194)	2025-11-12 12:03:41 +08:00
db_models.py	feat: Add hierarchical retrieval architecture for production-grade RAG	2025-12-03 11:16:24 +01:00
db_utils.py	Add time utils (#10849)	2025-10-28 19:09:14 +08:00
init_data.py	Allow create super user when start rag server. (#10634)	2025-11-24 19:02:08 +08:00
reload_config_base.py	Format file format from Windows/dos to Unix (#1949)	2024-08-15 09:17:36 +08:00
runtime_config.py	Admin: add 'show version' (#11079)	2025-11-06 19:24:46 +08:00