{% extends "base.html" %} {% from "components/custom_dropdown.html" import render_dropdown %} {% from "components/help_macros.html" import tooltip, help_panel, help_step, help_tip, label_with_tooltip %} {% set active_page = 'new-research' %} {% block title %}New Research - Deep Research System{% endblock %} {% block extra_head %} {% endblock %} {% block content %}

Start New Research

Enter to search Shift+Enter for new line Esc returns here from anywhere Ctrl+Shift+1-4 to navigate menu
Research Mode
Privacy & Egress (Experimental)
Limits which search engines this run may use. What does each mode do? ↗
Local inference
These controls decide what data leaves your machine for this run. They override the corresponding global settings just for this research. Configure the model and search engine in Advanced Options below.
Local = runs on your computer | Cloud = external API
{{ render_dropdown( input_id="model", dropdown_id="model-dropdown", placeholder="Enter or select a model", label="Language Model", help_text="Select or enter a custom model name", show_refresh=True, refresh_aria_label="Refresh model list", data_initial_value=settings.llm_model ) }} Picking a local model? Compare community results on the LDR benchmarks dataset to see which models work well for research.
{{ render_dropdown( input_id="search_engine", dropdown_id="search-engine-dropdown", placeholder="Select a search engine", label="Search Engine", help_text="Select the search engine to use for research", show_refresh=True, refresh_aria_label="Refresh search engine list", data_initial_value=settings.search_tool ) }}
More iterations = deeper research (even 20+ can make sense for Focused Iteration, depending on context window size)
Lower is generally better (1-2 recommended). Prefer increasing iterations for deeper research.
Focused Iteration works best with >16,000 context window
{% call help_panel('research-workflow', 'How Research Works', icon='lightbulb', collapsed=true, dismissible=true) %}
{{ help_step(1, "Query Analysis", "Your research question is analyzed to identify key concepts and generate initial search queries.") }} {{ help_step(2, "Source Discovery", "The search engine finds relevant sources. Each iteration generates follow-up questions to explore the topic deeper.") }} {{ help_step(3, "Content Analysis", "The AI reads and analyzes each source, extracting key information relevant to your query.") }} {{ help_step(4, "Report Generation", "Findings are synthesized into a comprehensive report with citations and references.") }}
{{ help_tip("Tip: For academic research, select ArXiv or PubMed as your search engine. For general topics, SearXNG provides the broadest coverage.") }} {% endcall %}
{% endblock %} {% block component_scripts %} {% endblock %}