Research Assistant
Synthesize clinical studies, technical papers, and regulatory data into actionable, evidence-backed insights.
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Executive summary
Research and policy teams face growing pressure to synthesize expanding volumes of studies, reports, and data. Current keyword search slows analysis and often misses the nuanced connections that drive actionable insight. The Research Assistant uses document-grounded reasoning to interpret complex questions, retrieve relevant evidence, and generate citation-rich summaries or briefs. Built on SeekrFlow’s agentic architecture and AI-Ready Data Engine, it transforms how analysts and researchers review literature, accelerating synthesis, improving traceability, and producing transparent, evidence-backed conclusions in minutes.
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.
Solution
Seekr’s pre-built Research Assistant 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.
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
How it works
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 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 and metadata retrieval
Planner / Executor / Evaluator framework
Evaluation Engine
Optional scoring
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
Takeaway
This intelligent Research Assistant 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.
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See it in action
See how this AI solution works for your team. Request a live walkthrough with one of our experts and explore how it can adapt to your unique workflows and data.
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