Iris.ai vs Kagi Small Web

Compare research AI Tools

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Iris.ai

Iris.ai

Enterprise retrieval and evaluation platform for secure agentic AI over private corpora with workflows for ingestion testing and governance.

Pricing By quote
Category research
Difficulty Beginner
Type Web App
Status Active
K

Kagi Small Web

Human curated discovery of independent blogs and personal sites surfaced by Kagi, focusing on quality writing, small creators, and topic lenses.

Pricing Free
Category research
Difficulty Beginner
Type Web App
Status Active

Feature Tags Comparison

Only in Iris.ai

retrievalenterprisegovernanceevaluationsecurity

Shared

None

Only in Kagi Small Web

searchdiscoveryblogsindiecuration

Key Features

Iris.ai

  • • 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

Kagi Small Web

  • • Curated index of personal sites and indie blogs
  • • Topic lenses that emphasize quality over clickbait
  • • Fast clean previews with direct source links
  • • Integrates conceptually with Kagi Search lenses
  • • No ads or tracking and respectful privacy stance
  • • Updated continuously with new voices

Use Cases

Iris.ai

  • → 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

Kagi Small Web

  • → Find independent experts and niche blogs for learning
  • → Build reading lists for research without ad clutter
  • → Discover maker posts side projects and dev notes
  • → Escape SEO spam and farm content during searches
  • → Source quotable articles for newsletters and briefs
  • → Use as a complement to Kagi lenses while researching

Perfect For

Iris.ai

enterprise knowledge leaders compliance teams information security and platform engineers who need measurable safe retrieval over private data

Kagi Small Web

researchers journalists developers students and curious readers who value independent sources and low noise discovery

Capabilities

Iris.ai

Governed sources Professional
Quality and safety Professional
Policies and guardrails Intermediate
Drift and reporting Intermediate

Kagi Small Web

Indie sources Basic
Quality lenses Basic
Clean previews Basic
Search workflow Basic

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