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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| .. | ||
| backend | ||
| bench | ||
| frontend | ||
| src-tauri | ||
| __init__.py | ||
| install_llama_prebuilt.py | ||
| install_python_stack.py | ||
| LICENSE.AGPL-3.0 | ||
| package-lock.json | ||
| package.json | ||
| RAG_FAST_INDEXING.md | ||
| setup.bat | ||
| setup.ps1 | ||
| setup.sh | ||
| Unsloth_Studio_Colab.ipynb | ||