# Information Retrieval on Llama Index

Source: [Information Retrieval on Llama Index](<https://www.sota2.com/research/sota/information-retrieval-on-llama-index>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:50:24.020Z

Evaluation of Information Retrieval performance on the Llama Index dataset, measured using metrics such as MRR and Hit Rate.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Information Retrieval |
| Dataset (including any stated split) | Llama Index |
| Metric | MRR |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [MRR](<https://www.sota2.com/research/sota/information-retrieval-on-llama-index.md?metric=MRR>): Higher is better; unit: PERCENT.

- [Hit Rate](<https://www.sota2.com/research/sota/information-retrieval-on-llama-index.md?metric=Hit%20Rate>): Higher is better; unit: PERCENT.

## Recorded results

| Method | MRR | Result date | Report paper |
| --- | --- | --- | --- |
| Llama2Vec | 70.56 | Not recorded | 68fa71ae1e209131cea52833 |
| bge-m3 | 69.67 | Not recorded | 68fa71ae1e209131cea52833 |
| RepLLaMA | 68.43 | Not recorded | 68fa71ae1e209131cea52833 |
| OpenAI-TE3-L | 67.37 | Not recorded | 68fa71ae1e209131cea52833 |
| OpenAI-TE3-S | 65.69 | Not recorded | 68fa71ae1e209131cea52833 |

### Llama2Vec

MRR: 70.56. Result ID: 6991db6c3a6c3148490b0868.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71ae1e209131cea52833.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71ae1e209131cea52833.md>)

[Implementation](<https://github.com/FlagOpen/FlagEmbedding>)

Recorded evaluation configuration: {"Zero-shot":true}. This record does not assert independent reproduction.

### bge-m3

MRR: 69.67. Result ID: 6991db6c3a6c3148490b0864.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71ae1e209131cea52833.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73d91e209131cea5e7ab.md>)

[Implementation](<https://github.com/FlagOpen/FlagEmbedding>)

Recorded evaluation configuration: {"Zero-shot":true}. This record does not assert independent reproduction.

### RepLLaMA

MRR: 68.43. Result ID: 6991db6c3a6c3148490b0867.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71ae1e209131cea52833.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70db1e209131cea4dba5.md>)

Recorded evaluation configuration: {"Zero-shot":true}. This record does not assert independent reproduction.

### OpenAI-TE3-L

MRR: 67.37. Result ID: 6991db6c3a6c3148490b0866.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71ae1e209131cea52833.md>)

Recorded evaluation configuration: {"Zero-shot":true}. This record does not assert independent reproduction.

### OpenAI-TE3-S

MRR: 65.69. Result ID: 6991db6c3a6c3148490b0865.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71ae1e209131cea52833.md>)

Recorded evaluation configuration: {"Zero-shot":true}. This record does not assert independent reproduction.

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