Category

Retrieval and RAG Benchmarks

Compare 15 Retrieval and RAG Benchmarks tools collected by AiFolder. Review what each product does, follow verification signals, and open related options before choosing a tool for your workflow.

Showing 15 of 15
BEIR

BEIR

Retrieval and RAG Benchmarks

BEIR is a heterogeneous zero-shot information-retrieval benchmark spanning 18 datasets and multiple domains, with standardized loaders, retrieval baselines, and evaluation metrics.

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BRIGHT

BRIGHT

Retrieval and RAG Benchmarks

BRIGHT is a benchmark for reasoning-intensive retrieval across technical and everyday domains where identifying relevant documents requires substantial query reasoning.

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CRAG

CRAG

Retrieval and RAG Benchmarks

CRAG is Meta's Comprehensive RAG Benchmark with thousands of questions, temporal and long-tail facts, mock web and knowledge-graph APIs, and end-to-end scoring.

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HotpotQA

HotpotQA

Retrieval and RAG Benchmarks

HotpotQA is a multi-hop question-answering benchmark with supporting-fact annotations that tests retrieval and reasoning across multiple Wikipedia passages.

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KILT

KILT

Retrieval and RAG Benchmarks

KILT is Meta's benchmark that grounds multiple knowledge-intensive language tasks in a shared Wikipedia snapshot and scores both retrieval provenance and task output.

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LoTTE

LoTTE

Retrieval and RAG Benchmarks

LoTTE is a long-tail topic-stratified retrieval benchmark with search and forum queries across five domains and pooled relevance judgments.

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MIRACL

MIRACL

Retrieval and RAG Benchmarks

MIRACL is a multilingual information-retrieval benchmark with relevance judgments for queries and Wikipedia passages across 18 languages.

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MS MARCO

MS MARCO

Retrieval and RAG Benchmarks

MS MARCO is Microsoft's large-scale passage and document ranking benchmark derived from real search queries with relevance labels and public leaderboard tasks.

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MTEB

MTEB

Retrieval and RAG Benchmarks

MTEB is a large multilingual benchmark and evaluation package for text embeddings across retrieval, reranking, classification, clustering, semantic similarity, and related tasks.

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MTRAG

MTRAG

Retrieval and RAG Benchmarks

MTRAG is IBM's human-generated benchmark for evaluating multi-turn retrieval-augmented generation across domains, conversation histories, retrieval, and grounded responses.

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Natural Questions

Natural Questions

Retrieval and RAG Benchmarks

Natural Questions is Google's question-answering dataset of real search queries paired with Wikipedia pages and annotated long and short answers.

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RAGBench

RAGBench

Retrieval and RAG Benchmarks

RAGBench is a large explainable RAG dataset across multiple industry domains with retrieved contexts, responses, labels, and the associated TRACe evaluation framework.

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RAGTruth

RAGTruth

Retrieval and RAG Benchmarks

RAGTruth is a corpus of RAG responses with word-level hallucination annotations across question answering, data-to-text generation, and summarization.

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RGB

RGB

Retrieval and RAG Benchmarks

RGB is a benchmark for RAG robustness across noise tolerance, negative rejection, information integration, and counterfactual conflict.

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ViDoRe

ViDoRe

Retrieval and RAG Benchmarks

ViDoRe is a benchmark and evaluation toolkit for visual document retrieval across page images, varied document domains, and multilingual queries.

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FAQ

Retrieval and RAG Benchmarks directory questions

?What is available in Retrieval and RAG Benchmarks right now?

15 listings match this category. This result page includes BEIR, BRIGHT, CRAG. Open a listing to inspect its description and destination.

?How should I compare the Retrieval and RAG Benchmarks listings on this page?

Shortlist products by the task and output you need, then check their official sites for the current features and pricing. A category match does not mean all listed products have identical capabilities.