Fix issue 371 in AiDotNet #457
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This commit addresses issue #371 by implementing comprehensive unit tests for all RAG retrieval strategies in src/RetrievalAugmentedGeneration/Retrievers/. Test Coverage Includes: - RetrieverBase (via VectorRetriever tests) - DenseRetriever: Constructor validation, basic retrieval, semantic search - VectorRetriever: Full coverage including query/topK validation, metadata filtering - BM25Retriever: Keyword matching, BM25 scoring, parameter validation - TFIDFRetriever: TF-IDF scoring, caching behavior, term frequency analysis - HybridRetriever: Score fusion, weight balancing, dual strategy combination - MultiQueryRetriever: Query expansion, score aggregation, multi-query logic - MultiVectorRetriever: Vector aggregation methods (max/mean/weighted) - ParentDocumentRetriever: Chunk/parent relationship, hierarchical retrieval - ColBERTRetriever: Token-level interaction, parameter validation - GraphRetriever: Entity extraction, relationship scoring, graph-based retrieval Test Infrastructure: - Created InMemoryDocumentStore for isolated testing - Created StubEmbeddingModel for deterministic embeddings - Test helpers for creating sample documents and data All tests follow xUnit patterns and include: - Constructor validation with null/invalid parameters - Basic retrieval functionality - TopK parameter enforcement - Metadata filtering integration - Empty query/document store handling - Relevance score assignment and sorting - Strategy-specific scoring behavior - Edge cases and error conditions Target: 80%+ code coverage for all retriever implementations
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✨ Finishing touches
🧪 Generate unit tests (beta)
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Pull Request Overview
This PR adds comprehensive unit tests for the Retrieval-Augmented Generation (RAG) retriever components in the AiDotNet library. The tests cover various retriever implementations including vector-based, keyword-based, hybrid, and advanced retrieval strategies.
- Introduces a shared TestHelpers utility with in-memory document store and stub embedding model for consistent test setup
- Provides exhaustive test coverage for 9 different retriever types with constructor validation, retrieval logic, metadata filtering, and edge cases
- Ensures all retrievers properly handle null/empty inputs, maintain sorted results, and respect topK limits
Reviewed Changes
Copilot reviewed 8 out of 8 changed files in this pull request and generated 3 comments.
Show a summary per file
| File | Description |
|---|---|
| TestHelpers.cs | Provides shared test infrastructure including InMemoryDocumentStore and StubEmbeddingModel for deterministic test execution |
| VectorRetrieverTests.cs | Tests semantic vector-based retrieval with embedding models, including relevance scoring and metadata filtering |
| TFIDFRetrieverTests.cs | Tests TF-IDF keyword-based retrieval with scoring validation, cache behavior, and term frequency analysis |
| MultiQueryRetrieverTests.cs | Tests multi-query expansion retrieval strategy with score aggregation across multiple query variations |
| HybridRetrieverTests.cs | Tests hybrid retrieval combining dense and sparse strategies with weighted fusion and different weight configurations |
| DenseRetrieverTests.cs | Tests dense vector retrieval functionality with semantic search capabilities |
| BM25RetrieverTests.cs | Tests BM25 keyword-based retrieval with parameter tuning (k1, b), term frequency scoring, and case handling |
| AdvancedRetrieverTests.cs | Tests advanced retriever implementations including MultiVector, ParentDocument, ColBERT, and Graph retrievers with specialized functionality |
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| // Act | ||
| var hybridResults = retriever.Retrieve("machine learning", topK: 5).ToList(); | ||
| var denseResults = denseRetriever.Retrieve("machine learning", topK: 5).ToList(); |
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This assignment to denseResults is useless, since its value is never read.
Suggested change
| var denseResults = denseRetriever.Retrieve("machine learning", topK: 5).ToList(); |
| // Act | ||
| var hybridResults = retriever.Retrieve("machine learning", topK: 5).ToList(); | ||
| var denseResults = denseRetriever.Retrieve("machine learning", topK: 5).ToList(); | ||
| var sparseResults = sparseRetriever.Retrieve("machine learning", topK: 5).ToList(); |
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This assignment to sparseResults is useless, since its value is never read.
Suggested change
| var sparseResults = sparseRetriever.Retrieve("machine learning", topK: 5).ToList(); |
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| // Act - First retrieval builds cache | ||
| var results1 = retriever.Retrieve("machine learning", topK: 5).ToList(); | ||
| var count1 = results1.Count; |
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This commit addresses issue #371 by implementing comprehensive unit tests for all RAG retrieval strategies in src/RetrievalAugmentedGeneration/Retrievers/.
Test Coverage Includes:
Test Infrastructure:
All tests follow xUnit patterns and include:
Target: 80%+ code coverage for all retriever implementations
User Story / Context
merge-dev2-to-masterSummary
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