ccebbed190
- chat-adapter pre-fetches retrieval on every turn when RAG is on, regardless of provider. Users no longer have to phrase queries as 'the document I attached' for retrieval to fire. Local tool models still get search_knowledge_base registered as a refinement path. - New per-thread ragMinScore slider (Min relevance, 0..1) gates retrieved hits by dense cosine similarity. Hits below the floor (and BM25-only hits with no dense signal) are dropped server-side so unrelated docs don't get injected when the user's query is off-topic from what's indexed. - Backend logs at search start (scope, top_k, min_score, query preview), after retrieval (retrieved vs met_threshold counts), and on return (final hit count) for both /api/rag/search and the search_knowledge_base tool path. - System-prompt nudge prepended when pre-fetch returns hits so the model knows to cite [1], [2] rather than paraphrase silently. |
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| .. | ||
| backend | ||
| frontend | ||
| src-tauri | ||
| __init__.py | ||
| install_llama_prebuilt.py | ||
| install_python_stack.py | ||
| LICENSE.AGPL-3.0 | ||
| package-lock.json | ||
| package.json | ||
| setup.bat | ||
| setup.ps1 | ||
| setup.sh | ||
| Unsloth_Studio_Colab.ipynb | ||