feat(ai): enhance RAG with Milvus integration, query rewrite, multi-path retrieval and refactor#1458
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YuZhangLarry wants to merge 4 commits intoapache:aifrom
Open
feat(ai): enhance RAG with Milvus integration, query rewrite, multi-path retrieval and refactor#1458YuZhangLarry wants to merge 4 commits intoapache:aifrom
YuZhangLarry wants to merge 4 commits intoapache:aifrom
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… merge - Reorganize RAG components into indexers, retrievers, loaders, mergers, rerankers, and query packages - Add Milvus multi-path retrieval support (Dense, BM25 Sparse, Hybrid) - Add RRF (Reciprocal Rank Fusion) merge layer with deduplication - Add score normalization strategies (MinMax, ZScore, Rank, Softmax, Sigmoid, Log) - Add comprehensive Milvus unit tests and E2E workflow tests - Fix deduplication to handle documents without IDs using content hash - Fix Milvus SDK dependency compatibility with Go 1.25+ Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add query rewrite processor for enhanced query optimization - Implement multi-path retrieval with merge capabilities - Add comprehensive E2E tests for RAG workflows - Enable query processor by default in config - Add RAG test helpers and utilities Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Summary
Refactored RAG component with enhanced capabilities including Milvus integration, query rewrite optimization, and multi-path retrieval.
Key Changes
RAG Component Refactor
Milvus/Zilliz Cloud Support
Query Rewrite Enhancement
Multi-Path Retrieval
Testing
Configuration
Query processor is enabled by default in
ai/component/rag/rag.yaml