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IBM/vakra

0
View on GitHub↗
61 stars·4 forks·Python·12 viewsibm-research-vakra.hf.space↗

Vakra

VAKRA (eValuating API and Knowledge Retrieval Agents using multi-hop, multi-source dialogues) is a tool-grounded, executable benchmark designed to evaluate how well AI agents reason end-to-end in enterprise-like settings.

Features

  • Benchmarks and Evaluation - Benchmark for assessing tool-calling capabilities in AI agents.

Star history

Star history chart for ibm/vakraStar history chart for ibm/vakra

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Open-source alternatives to Vakra

Similar open-source projects, ranked by how many features they share with Vakra.
  • graphrag-bench/graphrag-benchmarkGraphRAG-Bench avatar

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    🧩Task Examples

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  • petergpt/bullshit-benchmarkpetergpt avatar

    petergpt/bullshit-benchmark

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    BullshitBench v2

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    View on GitHub↗1,733

Frequently asked questions

What does ibm/vakra do?

VAKRA (eValuating API and Knowledge Retrieval Agents using multi-hop, multi-source dialogues) is a tool-grounded, executable benchmark designed to evaluate how well AI agents reason end-to-end in enterprise-like settings.

What are the main features of ibm/vakra?

The main features of ibm/vakra are: Benchmarks and Evaluation.

What are some open-source alternatives to ibm/vakra?

Open-source alternatives to ibm/vakra include: graphrag-bench/graphrag-benchmark — 🧩Task Examples. petergpt/bullshit-benchmark — BullshitBench v2.