27 lines
1.2 KiB
Markdown
27 lines
1.2 KiB
Markdown
## 1. Spring AI Milvus Setup
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- [x] 1.1 Add the official Spring AI Milvus VectorStore starter dependency.
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- [x] 1.2 Configure Spring AI Milvus to reuse the existing collection field names, dimension, metric type, and connection settings.
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- [x] 1.3 Add retrieval mode configuration for `auto`, `spring-ai`, and `sdk`.
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## 2. Retrieval Service Refactor
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- [x] 2.1 Refactor `VectorSearchService` to inject optional Spring AI `VectorStore`.
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- [x] 2.2 Implement VectorStore search and map Spring AI `Document` results to existing `SearchResult`.
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- [x] 2.3 Preserve the existing SDK search path as a dedicated fallback method.
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- [x] 2.4 Route retrieval by configured mode and fallback rules.
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## 3. Tests
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- [x] 3.1 Add tests for SDK mode bypassing VectorStore.
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- [x] 3.2 Add tests for auto mode using VectorStore when available.
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- [x] 3.3 Add tests for auto mode falling back to SDK when VectorStore fails or is unavailable.
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- [x] 3.4 Add tests for category metadata filter behavior.
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## 4. Validation And Archive
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- [x] 4.1 Run targeted retrieval tests.
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- [x] 4.2 Run the offline RAG retrieval baseline evaluator.
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- [x] 4.3 Run OpenSpec validation.
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- [x] 4.4 Review git diff to confirm `lookup_knowledge` API and evidence output remain compatible.
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