Iris.ai vs Semantic Scholar
Compare research AI Tools
21% Similar — based on 3 shared tags
Enterprise retrieval and evaluation platform for secure agentic AI over private corpora with workflows for ingestion testing and governance.
Semantic Scholar is a free AI powered scholarly search engine from AI2 that helps you find papers authors and citation links, and it also provides a public REST API and Academic Graph data access for building research tools and analyses.
Feature Tags Comparison
Key Features
- Governed Ingestion: Connect wikis drives and repos then normalize content with metadata access rules and retention policies for compliance
- Evaluation Workflows: Run automatic metrics and human rubrics to measure accuracy hallucination rate and coverage before launch
- Guardrails and Policies: Define prompts filters and safety limits that block sensitive data flow and unsafe responses in production
- Observability and Drift: Track quality usage and model costs then alert owners when performance moves outside accepted ranges
- Integrations: Use existing vector stores model providers and identity controls so deployments align with current architecture
- Red Teaming: Exercise prompts tools and environments to uncover jailbreaks and leakage risks before go live
- Free scholarly search: Provides a free search experience for papers authors venues and citation relationships
- REST API access: Offers a REST API to explore publication data about papers authors citations and venues
- API license terms: Publishes an API license agreement that defines acceptable use and legal obligations
- Graph based discovery: Supports citation network exploration to trace influential works and related research paths
- Metadata retrieval: Enables programmatic metadata retrieval for building research dashboards and tools
- Citation linkage: Helps follow citations and references quickly to map a field without manual browsing
Use Cases
- Stand up secure knowledge assistants for employees that search approved sources with clear citations
- Reduce support handle time by routing assistants to articles with evaluation backed accuracy and policy bounds
- Enable research teams to explore large archives and synthesize findings with traceable sources for compliance
- Run pilots that compare prompts models and retrieval settings to pick the highest quality approach
- Prepare audit evidence with documented controls and results to satisfy internal and external requirements
- Connect identity and permissions so assistants respect document level access across departments
- Literature discovery: Find key papers and authors in a topic and expand via citation links to build a reading list
- Author profiles: Track an authors output and coauthor network to understand a research area faster
- Dataset building: Use API data to build a local dataset of papers and citations for analysis and visualization
- Trend analysis: Analyze venues and citation patterns over time to spot emerging topics and influential work
- Tool prototyping: Build a research assistant app that fetches paper metadata and shows related work automatically
- Teaching workflows: Use the free search interface in classrooms to demonstrate citation networks and discovery
Perfect For
enterprise knowledge leaders compliance teams information security and platform engineers who need measurable safe retrieval over private data
researchers, students, librarians, data scientists, science journalists, developers building research tools, analytics teams studying scholarly trends, and educators teaching literature discovery
Capabilities
Governed sources Professional
Quality and safety Professional
Policies and guardrails Intermediate
Drift and reporting Intermediate
Scholarly search UI Professional
Citation graph exploration Professional
REST API access Intermediate
API license compliance Intermediate
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