b085b37b69
The cross-encoder reranker is off by default (enable_rerank=False everywhere) and adds a second model download plus a candidate-widening pass on every search. Removing it keeps the core retrieval (parse, chunk, embed, BM25 + dense, RRF, search_knowledge_base tool) intact while dropping ~375 lines. - delete core/rag/reranker.py and its test - drop enable_rerank / reranker_model from the search tool, tools dispatch, and the /rag/search route (candidate_k is now just top_k) - remove the /rag/reranker/precache endpoint and reranker config knobs - update tool-handler test to the trimmed rag_scope shape 42 RAG tests pass. |
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| .. | ||
| data_recipe | ||
| .gitkeep | ||
| __init__.py | ||
| auth.py | ||
| chat_history.py | ||
| datasets.py | ||
| export.py | ||
| inference.py | ||
| mcp_servers.py | ||
| models.py | ||
| providers.py | ||
| rag.py | ||
| training.py | ||
| training_history.py | ||