Evidence-Based Research Assistant

A document-grounded, reasoning-capable assistant that accelerates literature review, comparative analysis, and policy briefing across any research domain.
Telescope, lighbulb, and document icons that represent stages of research

Problem

Researchers, policy analysts, and subject-matter experts are expected to synthesize ever-growing volumes of publications, reports, and datasets.
Traditional keyword search is slow, requires expert query design, and rarely uncovers cross-disciplinary links or nuanced causal factors. Drafting evidence summaries or policy briefs often means hours of manual reading and note consolidation.

What it does

This prebuilt solution lets users ask layered, domain-specific questions in natural language and receive citation-rich, explainable answers.

Example prompts:

  • “List the top environmental factors influencing asthma prevalence in urban areas over the past decade.”
  • “Compare those factors with socioeconomic drivers in the same population.”
  • “Draft a 250-word policy brief recommending interventions, citing only peer-reviewed sources in the corpus.”
  • Outputs are grounded in the indexed research, include inline citations, and can be exported for documentation or stakeholder review.

How it works (Powered by SeekrFlow™)

Two agent modes come ready-configured:
Standard: Fast reference answers and concise summaries
Enhanced: Deeper reasoning, expanded context, full citations and justifications

Users may also toggle Evaluation Mode to score each answer for clarity, groundedness, and completeness before display.

Under the hood

  • AI-Ready Data Engine ingests and chunks research papers, reports, or web resources.
  • Planner → Executor → Evaluator agents retrieve, reason, and (optionally) score responses.
  • All logic runs on SeekrFlow; no model training or infrastructure work is required.

Ideal users

  • Policy and legislative analysts
  • Academic and corporate research teams
  • Think-tank and NGO insight groups
  • Healthcare, environmental, or economic strategists

Built on SeekrFlow

  • AI-Ready Data Engine (document structuring)
  • FileSearch (semantic + metadata retrieval)
  • Planner / Executor / Evaluator agent framework
  • Evaluation Engine (optional scoring)
  • Web UI & SDK for no-code and programmatic access

Value

  • Cuts literature-review and synthesis time from days to minutes
  • Surfaces cross-disciplinary links missed by keyword tools
  • Produces briefing-ready outputs with transparent citations
  • Works for non-technical users; no prompt engineering required
  • Extensible for domain fine-tuning, new data feeds, or drafting helpers

    • Where you can extend it

    • Add real-time web and database search connectors
    • Fine-tune on in-house taxonomies or classification schemes
    • Introduce drafting chains (e.g., summary → recommendation → action plan)
    • Adjust reasoning depth to balance speed vs. context

    Solution traits

    Prebuilt Solution | Agentic | Retrieval-Augmented | Evaluable | UI-Ready | Extendable

    Takeaway

    This isn’t another search box. It’s a research copilot that ingests your corpus, reasons over evidence, and delivers citation-backed insights on demand—all powered by the SeekrFlow platform and ready to deploy in weeks.

Ready to try it yourself?

Let’s Talk

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