{{ help_step(1, "Text Extraction", "Documents are parsed and text content is extracted from PDFs, HTML, Markdown, etc.") }}
{{ help_step(2, "Chunking", "Text is split into smaller pieces (chunks) for more precise search results.") }}
{{ help_step(3, "Embedding", "Each chunk is converted to a vector (list of numbers) that captures its meaning.") }}
{{ help_step(4, "Semantic Search", "When you search, your query is also converted to a vector, and the most similar chunks are returned.") }}
{{ help_tip("Why index? Semantic search finds content by meaning, not just keywords. 'car' matches 'automobile', 'vehicle', etc.") }}
{% endcall %}
{{ tooltip("Embedding Settings", "Locked because changing these requires re-processing ALL documents (can take hours). Set globally in Settings → Embeddings before creating collections.") }}
Collection's Embedding Settings
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These settings are locked for this collection to ensure embedding consistency.
To use different settings, you would need to re-index the entire collection.
Default embedding settings for new collections can be changed in
Embedding Settings.
Indexing Progress
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Search Collection
Documents
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No documents in this collection yet. Use the Upload Files button above to add documents.
{% include "components/delete_confirmation_modal.html" %}
{% endblock %}