JetBrains 3rd Party RAG Inspector

Analyzes third-party RAG integrations
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Publisher

Jetbrains 3rd Party

Subcategories

JetBrains Plugins & Extensions AI Assistants & Copilots

About this software

JetBrains 3rd Party RAG Inspector inspects third-party retrieval-augmented generation (RAG) integrations in software projects. It analyzes connectors, configuration, and usage patterns to surface integration issues and potential risks. The tool is aimed at developers, DevOps engineers, and security teams who evaluate or maintain external RAG services within applications.

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JetBrains 3rd Party RAG Inspector

JetBrains 3rd Party RAG Inspector
In Stock
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€28.58
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Benefits

  • Integration analysis: Identifies configuration issues and mismatches in RAG connectors.
  • Usage visibility: Shows query and usage patterns related to third-party RAG calls.
  • Security insight: Surfaces potential data exposure and permission concerns.
  • Developer workflow: Integrates into development workflows for easier diagnostics.
  • Target users: Designed for developers, DevOps, and security teams.

Available languages

  • English

Support information

  • Documentation access: Refer to the JetBrains product documentation for setup and usage guidance.
  • Marketplace updates: Plugin or extension updates are available through JetBrains Marketplace where applicable.
  • Issue reporting: Report bugs and issues via the JetBrains issue tracker or support channels.
  • Compatibility notes: Check product pages for verified IDE and platform compatibility details.
  • Licensing information: See JetBrains pages for subscription and licensing terms.

Frequently asked questions

What is JetBrains 3rd Party RAG Inspector?
A tool for analyzing third-party content used in Retrieval-Augmented Generation (RAG) systems, helping surface provenance, metadata, and potential licensing or compliance concerns for review.
What issues does it help identify in third-party RAG sources?
Common findings include missing or inconsistent provenance, unclear licensing, duplicate or low-quality content, and metadata gaps that can affect model outputs and compliance assessments.
How are inspection results reported?
Exports typically include structured reports, logs, and searchable records with source references and metadata to support audits and remediation workflows.
How does it fit into existing RAG workflows and tooling?
It connects at ingestion or retrieval stages to analyze third-party inputs and can integrate with data stores, CI pipelines, or review processes through APIs or connectors.