Files
minne/html-router/templates/admin/sections/models.html
T
Per Stark 4e20da538d feat: configure FastEmbed model in config and admin, with restart to apply
Expose fastembed_model in config and a model dropdown on Admin → Models.
Persist dimension from the chosen model, require restart to load it, and
align legacy OpenAI default settings so fresh local-embedding installs
start cleanly.
2026-06-04 21:51:57 +02:00

251 lines
11 KiB
HTML

<section class="nb-panel p-4 sm:p-5 flex flex-col gap-4">
<div class="flex items-start justify-between flex-col sm:flex-row gap-3">
<div>
<div class="text-sm uppercase tracking-wide opacity-60 mb-1">AI Models</div>
<h2 class="text-lg font-semibold">Model configuration</h2>
<p class="text-xs opacity-70 max-w-2xl">
Choose which models power conversational search, ingestion analysis, and embeddings.
Embedding dimension changes apply after you restart the worker or server.
</p>
</div>
<a
href="/admin?section=overview"
class="nb-btn btn-sm btn-ghost"
hx-boost="true"
hx-target="#admin-shell"
hx-select="#admin-shell"
hx-swap="outerHTML"
hx-push-url="true"
>
← Back to Admin
</a>
</div>
{% if available_models %}
{% block model_settings_form %}
<form hx-patch="/update-model-settings" hx-swap="outerHTML" class="grid grid-cols-1 gap-4">
<div class="grid grid-cols-1 sm:grid-cols-2 gap-4">
<div>
<div class="text-sm opacity-80 mb-1">Query Model</div>
<select name="query_model" class="nb-select w-full">
{% for model in available_models.data %}
<option value="{{ model.id }}" {% if settings.query_model == model.id %}selected{% endif %}>{{ model.id }}</option>
{% endfor %}
</select>
<p class="text-xs opacity-70 mt-1">Current: <span class="font-mono">{{ settings.query_model }}</span></p>
</div>
<div>
<div class="text-sm opacity-80 mb-1">Processing Model</div>
<select name="processing_model" class="nb-select w-full">
{% for model in available_models.data %}
<option value="{{ model.id }}" {% if settings.processing_model == model.id %}selected{% endif %}>{{ model.id }}</option>
{% endfor %}
</select>
<p class="text-xs opacity-70 mt-1">Current: <span class="font-mono">{{ settings.processing_model }}</span></p>
</div>
</div>
<div class="grid grid-cols-1 sm:grid-cols-2 gap-4">
<div>
<div class="text-sm opacity-80 mb-1">Image Processing Model</div>
<select name="image_processing_model" class="nb-select w-full">
{% for model in available_models.data %}
<option value="{{ model.id }}" {% if settings.image_processing_model == model.id %}selected{% endif %}>{{ model.id }}</option>
{% endfor %}
</select>
<p class="text-xs opacity-70 mt-1">Current: <span class="font-mono">{{ settings.image_processing_model }}</span></p>
</div>
<div>
<div class="text-sm opacity-80 mb-1">Voice Processing Model</div>
<select name="voice_processing_model" class="nb-select w-full">
{% for model in available_models.data %}
<option value="{{ model.id }}" {% if settings.voice_processing_model == model.id %}selected{% endif %}>{{ model.id }}</option>
{% endfor %}
</select>
<p class="text-xs opacity-70 mt-1">Current: <span class="font-mono">{{ settings.voice_processing_model }}</span></p>
</div>
</div>
<div class="grid grid-cols-1 sm:grid-cols-2 gap-4">
<div>
<div class="text-sm opacity-80 mb-1">Embedding Model</div>
{% if effective_embedding_backend == "fastembed" %}
{% if fastembed_model_locked_by_config %}
<input
type="text"
class="nb-input w-full opacity-60 cursor-not-allowed"
value="{{ settings.embedding_model }}"
disabled
/>
<p class="text-xs text-info mt-1">
Overridden by <span class="font-mono">fastembed_model</span> in config.yaml at startup. Remove that setting to manage the model here.
</p>
{% else %}
<select name="embedding_model" id="fastembed_model_select" class="nb-select w-full">
{% for fe in fastembed_models %}
<option value="{{ fe.model_code }}" {% if settings.embedding_model == fe.model_code %}selected{% endif %}>
{{ fe.model_code }} ({{ fe.dimension }} dims)
</option>
{% endfor %}
</select>
<p class="text-xs opacity-70 mt-1">
Save, then restart the worker or server to load the new model. First run may download weights.
</p>
{% endif %}
{% elif effective_embedding_backend == "hashed" %}
<input
type="text"
name="embedding_model"
class="nb-input w-full opacity-60 cursor-not-allowed"
value="{{ settings.embedding_model }}"
disabled
/>
<p class="text-xs text-info mt-1">
Hashed embeddings use <span class="font-mono">embedding_dimensions</span> from config, not the admin UI.
</p>
{% else %}
<select name="embedding_model" class="nb-select w-full">
{% for model in available_models.data %}
<option value="{{ model.id }}" {% if settings.embedding_model == model.id %}selected{% endif %}>{{ model.id }}</option>
{% endfor %}
</select>
<p class="text-xs opacity-70 mt-1">Current: <span class="font-mono">{{ settings.embedding_model }}</span></p>
{% endif %}
</div>
<div>
<div class="text-sm opacity-80 mb-1" for="embedding_dimensions">Embedding Dimensions</div>
{% if effective_embedding_backend == "fastembed" %}
<input
type="number"
id="embedding_dimensions"
class="nb-input w-full opacity-60 cursor-not-allowed"
value="{{ settings.embedding_dimensions }}"
disabled
/>
<p class="text-xs opacity-70 mt-1">
Fixed by the selected FastEmbed model. A dimension change triggers a full re-embed after restart.
</p>
{% elif effective_embedding_backend == "hashed" %}
<input
type="number"
id="embedding_dimensions"
name="embedding_dimensions"
class="nb-input w-full opacity-60 cursor-not-allowed"
value="{{ settings.embedding_dimensions }}"
disabled
/>
<p class="text-xs text-info mt-1">
Set <span class="font-mono">EMBEDDING_BACKEND=openai</span> for OpenAI embeddings, or configure hashed dims in config.
</p>
{% else %}
<input
type="number"
id="embedding_dimensions"
name="embedding_dimensions"
class="nb-input w-full"
value="{{ settings.embedding_dimensions }}"
required
min="1"
/>
<p class="text-xs opacity-70 mt-1">
Saving a new dimension updates settings only. Restart the worker (or combined app) to re-embed stored data and rebuild indexes.
</p>
{% endif %}
</div>
</div>
{% if effective_embedding_backend == "fastembed" and not fastembed_model_locked_by_config %}
<div class="nb-panel p-3 bg-base-200/40 border border-base-content/10 text-xs opacity-90 max-w-3xl">
<p class="mb-2">
<strong>FastEmbed:</strong> The running process keeps the model loaded until restart. Changing to a model with a
different dimension re-embeds all stored vectors on the next worker/server startup.
</p>
<p>
Same-dimension model swaps update settings only; existing vectors are not automatically regenerated until you
change dimension (or re-embed via the OpenAI workaround described in ops docs).
</p>
</div>
<div id="fastembed-change-alert" class="nb-panel p-3 bg-warning/20 hidden">
<div class="text-sm">
<strong>Warning:</strong> You changed the FastEmbed model. Save, then restart the worker or server to apply.
If the dimension changed, stored embeddings and HNSW indexes will be rebuilt on startup.
</div>
</div>
{% endif %}
{% if effective_embedding_backend != "fastembed" and effective_embedding_backend != "hashed" %}
<div class="nb-panel p-3 bg-base-200/40 border border-base-content/10 text-xs opacity-90 max-w-3xl">
<p class="mb-2">
<strong>Re-embedding stored data:</strong> Only a change to <span class="font-mono">embedding_dimensions</span>
followed by a restart triggers a full re-embed of text chunks and knowledge entities. Changing the embedding model alone
does <em>not</em> update vectors already in the database.
</p>
<p>
To force a full re-embed (for example after switching models), save a <em>different</em> dimension integer, restart the
worker, then set the final dimension and model and restart again if needed.
</p>
</div>
<div id="embedding-change-alert" class="nb-panel p-3 bg-warning/20 hidden">
<div class="text-sm">
<strong>Warning:</strong> You changed embedding dimensions. Save, then restart the worker or server so stored embeddings
and HNSW indexes are rebuilt. Until then, search may use the old dimension.
</div>
</div>
{% endif %}
<div class="flex justify-end gap-2">
<button type="submit" class="nb-btn nb-cta btn-sm">Save Model Settings</button>
</div>
</form>
{% if effective_embedding_backend == "fastembed" and not fastembed_model_locked_by_config %}
<script>
(() => {
const modelSelect = document.getElementById('fastembed_model_select');
const alertElement = document.getElementById('fastembed-change-alert');
const initialModel = '{{ settings.embedding_model }}';
if (modelSelect && alertElement) {
modelSelect.addEventListener('change', (event) => {
if (String(event.target.value) !== String(initialModel)) {
alertElement.classList.remove('hidden');
} else {
alertElement.classList.add('hidden');
}
});
}
})();
</script>
{% endif %}
{% if effective_embedding_backend != "fastembed" and effective_embedding_backend != "hashed" %}
<script>
(() => {
const dimensionInput = document.getElementById('embedding_dimensions');
const alertElement = document.getElementById('embedding-change-alert');
const initialDimensions = '{{ settings.embedding_dimensions }}';
if (dimensionInput && alertElement) {
dimensionInput.addEventListener('input', (event) => {
if (String(event.target.value) !== String(initialDimensions)) {
alertElement.classList.remove('hidden');
} else {
alertElement.classList.add('hidden');
}
});
}
})();
</script>
{% endif %}
{% endblock %}
{% else %}
<div class="nb-panel p-4 bg-warning/10 border border-warning/40">
<div class="text-sm font-semibold mb-1">Unable to load models</div>
<p class="text-xs opacity-70">We could not reach the model provider. Check the API key and retry.</p>
</div>
{% endif %}
</section>