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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| .. | ||
| __init__.py | ||
| _html_to_md.py | ||
| anthropic_compat.py | ||
| audio_codecs.py | ||
| chat_template_helpers.py | ||
| defaults.py | ||
| external_provider.py | ||
| inference.py | ||
| key_exchange.py | ||
| llama_cpp.py | ||
| llama_server_args.py | ||
| mlx_inference.py | ||
| orchestrator.py | ||
| pricing.py | ||
| providers.py | ||
| safetensors_agentic.py | ||
| tool_call_parser.py | ||
| tools.py | ||
| worker.py | ||