Implement hybrid retrieval pipeline with Snowflake Arctic embeddings + BM25 + reranker #13
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chaman56 wants to merge 1 commit intodevrev:mainfrom
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Implement hybrid retrieval pipeline with Snowflake Arctic embeddings + BM25 + reranker #13chaman56 wants to merge 1 commit intodevrev:mainfrom
chaman56 wants to merge 1 commit intodevrev:mainfrom
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- snowflake_embedding.py: Embedding pipeline using snowflake-arctic-embed-l-v2.0 - hybrid_retrieval.ipynb: Dense + BM25 + RRF + reranker with ablation study - optimized_retrieval.ipynb: Weighted RRF, sibling expansion, tuned params - ablation_metrics.json: Evaluation results on 291 annotated queries - Updated .gitignore for large binary files
Author
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@nimit2801 @prakhar7651 , Made the submission, please help with evaluations, file to be evaluated: |
Contributor
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Hey! |
Contributor
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Looking at the quality of submissions and eagerness for folks to contribute, we're extending the deadline to April 7th. Evaluations would be still going on. Please keep contributing. |
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Overview
Optimized hybrid retrieval pipeline for DevRev Search challange.
Pipeline: Dense (Snowflake Arctic Embed L v2.0) + BM25 → Weighted RRF (BM25 2x weight) → Article-sibling expansion →
BGE-reranker-v2-m3 (top-150 candidates, 768-char context)
Results (291 annotated queries):
Submission name:
snowflake-arctic-embed-l-v2.0-bm25-bge-reranker-v2-m3Ablation Results (291 queries)
Systems Used
work-item: ISS-1