What are the current industry benchmarks for evaluating the retrieval accuracy of RAG pipelines built on top of enterprise vector databases?
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The searches the AI actually ran for this prompt.
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What are the current industry benchmarks for evaluating the retrieval accuracy of RAG pipelines built on top of enterprise vector databases?
3 real searches · 1 real-search pass
current RAG retrieval evaluation best practices benchmarks vector database Recall@K nDCG 2026Google ↗
OBSERVED
RAG retrieval evaluation benchmarks enterprise vector databases Recall@k MRR nDCG benchmark 2025 2026Google ↗
OBSERVED
RAG evaluation benchmark datasets BEIR MTEB enterprise retrieval metrics context precision recall 2025Google ↗
OBSERVED
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
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Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 3 queries…
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ChatGPT3 real searches · gpt-6
current RAG retrieval evaluation best practices benchmarks vector database Recall@K nDCG 2026 Google ↗
RAG retrieval evaluation benchmarks enterprise vector databases Recall@k MRR nDCG benchmark 2025 2026 Google ↗
RAG evaluation benchmark datasets BEIR MTEB enterprise retrieval metrics context precision recall 2025 Google ↗
- Retrieval-Augmented Generation (RAG) Evaluators for Generative AI - Microsoft Foundry · learn.microsoft.com
- A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges · doi.org
- Introducing the MLPerf End-to-End RAG Inference Benchmark · mlcommons.org
- Evaluating your RAG system: the benchmarks and datasets that matter · rag-repo.org
- RAG evaluation gets specific: the 2026 wave of domain benchmarks · rag-repo.org
- Documentation · docs.ragas.io
- RAG evaluation documentation · learn.microsoft.com
- GitHub repository · github.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
current RAG retrieval evaluation best practices benchmarks vector database Recall@K nDCG 2026 OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
RAG retrieval evaluation benchmarks enterprise vector databases Recall@k MRR nDCG benchmark 2025 2026 OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
RAG evaluation benchmark datasets BEIR MTEB enterprise retrieval metrics context precision recall 2025 OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |