{% extends "base.html" %} {% from "components/help_macros.html" import tooltip, help_panel, help_step, help_tip %} {% block title %}Collection Details{% endblock %} {% block extra_head %} {% endblock %} {% block content %}
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{% call help_panel('rag-indexing', 'Understanding RAG Indexing', icon='brain', collapsed=true, dismissible=true) %}
{{ 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.

Documents

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{% include "components/delete_confirmation_modal.html" %} {% endblock %}