 Julian lechner
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e5b63965b8
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feat(retrieval): prefer CUDA devices
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2026-09-17 17:50:33 +02:00 |
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Julian lechner
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5ec6d0b6ac
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perf(retrieval): batch changed embeddings
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2026-09-17 17:50:14 +02:00 |
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Julian lechner
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0f8aa0a25d
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feat(qwen): rerank 50 candidates and return five
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2026-09-17 15:54:23 +02:00 |
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Julian lechner
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e97404a0a1
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feat(qwen): fuse dense and lexical search with RRF
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2026-09-17 15:54:10 +02:00 |
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Julian lechner
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fd37422de2
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feat(qwen): maintain a lexical search index
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2026-09-17 15:53:59 +02:00 |
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Julian lechner
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b76a993c75
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feat(qwen): split chunks at symbols and sections
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2026-09-17 15:53:48 +02:00 |
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Julian lechner
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685dbe61f4
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feat(qwen): add token windows and document metadata
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2026-09-17 15:53:36 +02:00 |
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Julian lechner
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7be729cb22
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feat(qwen): enforce 1024-dimensional embeddings
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2026-09-17 15:52:43 +02:00 |
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Julian lechner
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2079792a74
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fix(qwen): isolate and refresh indexes with code-search prompts
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2026-09-17 15:27:04 +02:00 |
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Julian lechner
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727c499d2c
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feat(retrieval): rerank semantic search results
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2026-09-17 13:07:47 +02:00 |
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Julian lechner
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27f1c1ec79
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feat(retrieval): add optional Qwen semantic layer
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2026-09-17 09:16:53 +02:00 |
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