feat(retrieval): implement Hybrid Search (Vector + BM25) and ColBERT Reranking#56
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swamy18 wants to merge 11 commits intofeld-m:mainfrom
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feat(retrieval): implement Hybrid Search (Vector + BM25) and ColBERT Reranking#56swamy18 wants to merge 11 commits intofeld-m:mainfrom
swamy18 wants to merge 11 commits intofeld-m:mainfrom
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This factory class implements the Factory design pattern to create a hybrid retriever component that uses Query Fusion to combine multiple retrieval results.
This class defines the configuration parameters needed for initializing and operating the hybrid retriever, extending the base RetrieverConfiguration.
Add hybrid retrieval configuration with various settings.
…l and reranking featureses and usage instructions Removed duplicate features and added new usage instructions for Hybrid Retrieval.
…ration for HybridRetrieverridRetrieverFactory Refactor HybridRetrieverFactory to include BM25Retriever and update configuration handling.
…wkflow Added a step for type checking using mypy.
feat(augmentation): add main app entry point for Chainlit UI
Updated README to enhance formatting and clarify usage instructions.docs: update README with correct CLI usage and hybrid search features
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This pull request introduces significant enhancements to the retrieval pipeline, including Hybrid Search and ColBERT reranking, along with production-ready configurations and a new user interface.
Key Changes:
QueryFusionRetrievercombining Vector search (ChromaDB) and BM25 for improved relevance.ColBERTreranker to the retrieval pipeline for more precise document ranking.src/augmentation/app.pyusing Chainlit for a chat-based user interface.mypytype checking.README.mdwith detailed instructions on how to run the new hybrid search and app.