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Feat/vector retriever
- #211
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Feb 27, 2026
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Feat/vector retriever
#211
seyoung4503
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CausalInferenceLab/Lang2SQL:master
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CausalInferenceLab/Lang2SQL:feat/vector-retriever
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feat(core): add TextDocument, IndexedChunk, RetrievalResult types and VectorStorePort
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feat(components/retrieval): add VectorRetriever, IndexBuilder, CatalogChunker, RecursiveCharacterChunker
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feat(integrations): add InMemoryVectorStore, OpenAIEmbedding, SemanticChunker
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feat(generation): add context parameter to SQLGenerator
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feat(flows): expose retriever injection in BaselineNL2SQL
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chore: export new public API symbols in __init__.py
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test(components/retrieval): add 16 unit tests for VectorRetriever
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docs(tutorials): add vector-retriever tutorial
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feat(retrieval): add HybridRetriever and HybridNL2SQL with RRF merging
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feat(loaders): add DocumentLoader components and PDFLoader integration
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feat(chunker): add .split() batch method to CatalogChunker and RecursiveCharacterChunker
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feat(chunking): add .split() batch method to SemanticChunker
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feat(vector): add from_chunks() classmethod and rewrite from_sources() internals
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refactor(hybrid): rename document_chunker → splitter parameter
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refactor(retrieval): remove IndexBuilder from public API
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test(vector_retriever): migrate to from_chunks() and add new test cases
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docs(usage-guide): replace IndexBuilder examples with from_chunks() API
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docs(complete-tutorial): update all sections for from_chunks() API
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docs : setup sample docs added
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style: apply black formatting to unmodified source files
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