docs: record embedding, neighbor, and inspect decisions
Co-authored-by: Cursor <cursoragent@cursor.com>
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@@ -12,7 +12,9 @@ No built-in export of experiment results, query logs, or benchmark comparisons t
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## Custom Chunking Parameters from the UI
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You cannot change `chunk_size`, `chunk_overlap`, `semantic_threshold`, or `semantic_min_chunk_size` from the dashboard. These are hardcoded in `src/core/config.py` with defaults (512 tokens, 50 overlap, 0.3 threshold). Changing them requires editing the config and restarting the server. The UI uses whatever the server has configured.
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You cannot change `chunk_size`, `chunk_overlap`, or `semantic_min_chunk_size` from the dashboard. Those remain in `src/core/config.py` (defaults: 512 tokens, 50 overlap, min chunk size from config). Changing them requires editing the config and restarting the server.
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**Exception:** per-Embedding-Model `semantic_threshold` is Admin-configurable (registry defaults OpenAI 0.3 / Nomic 0.6; overrides in SQLite). Re-process after changing it. Other Strategy knobs stay out of the UI.
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## Streaming Responses
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@@ -43,4 +45,4 @@ No full-text search or filtering within the dashboard. You cannot search for a s
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## Configuration Management from the UI
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You cannot view or edit the server configuration (OpenAI model, temperature, max_tokens, embedding model, Qdrant URL, database path) from the dashboard. The `/admin/config` endpoint was deferred to V1.1. All configuration is managed via the `.env` file and `src/core/config.py`.
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You cannot view or edit arbitrary server configuration (LLM model, temperature, max_tokens, Qdrant URL, database path, Ollama base URL) from the dashboard. The general `/admin/config` endpoint was deferred to V1.1. **Exception (ADR-0019):** Active Embedding Model may be switched in Admin among entries in the static Embedding Model Registry. Ollama host URL remains env-only (`OLLAMA_BASE_URL`).
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