Why did we open-source our inference engine? Read the post

colbert-ir/colbertv2.0 (Score)

[](https://colab.research.google.com/github/stanford-futuredata/ColBERT/blob/main/docs/intro2new.ipynb)

Overview

Architecture
BERT
Parameters
110M
Tasks
Encode, Score
Outputs
Multi-Vec
Dimensions
Multi-Vec: 128
Max Sequence Length
512 tokens
License
mit
Languages
en

Benchmarks

AskUbuntuDupQuestions

technology reranking en

Duplicate question detection from AskUbuntu

Corpus: 6,743 Queries: 360
Quality
ndcg at 10 0.5989
map at 10 0.4425
mrr at 10 0.6798
Reference →

CMedQAv1-reranking

general reranking en

Quality
ndcg at 10 0.1846
map at 10 0.1367
mrr at 10 0.1955

CMedQAv2-reranking

general reranking en

Quality
ndcg at 10 0.1979
map at 10 0.1478
mrr at 10 0.2017

CQADupstackPhysicsRetrieval

scientific retrieval en

Duplicate question retrieval from StackExchange Physics

Corpus: 38,314 Queries: 1,039
Performance L4 b1 c16
Corpus 33.2K tok/s
Corpus p50 58.6ms
Query 2.9K tok/s
Query p50 58.1ms
Reference →

CosQA

technology retrieval en

Code search with natural language queries

Corpus: 6,267 Queries: 500
Performance L4 b1 c16
Corpus 14.7K tok/s
Corpus p50 56.1ms
Query 1.8K tok/s
Query p50 51.8ms
Reference →

FiQA2018

finance retrieval en

Financial opinion mining and question answering

Corpus: 57,599 Queries: 648
Performance L4 b1 c16
Corpus 38.0K tok/s
Corpus p50 59.5ms
Query 3.9K tok/s
Query p50 47.3ms
Reference →

LegalBenchConsumerContractsQA

legal retrieval en

Question answering on consumer contracts

Corpus: 153 Queries: 396
Performance L4 b1 c16
Corpus 77.2K tok/s
Corpus p50 96.9ms
Query 5.4K tok/s
Query p50 49.0ms
Reference →

MMarcoReranking

general reranking zh

Multilingual MARCO passage reranking (Chinese)

Quality
ndcg at 10 0.0869
map at 10 0.0659
mrr at 10 0.0675
Reference →

NFCorpus

medical retrieval en

Biomedical literature search from NutritionFacts.org

Corpus: 3,593 Queries: 323
Performance L4 b1 c16
Corpus 42.8K tok/s
Corpus p50 89.2ms
Query 1.4K tok/s
Query p50 57.1ms
Reference →

SCIDOCS

scientific retrieval en

Citation prediction, document classification, and recommendation for scientific papers

Corpus: 25,656 Queries: 1,000
Performance L4 b1 c16
Corpus 41.3K tok/s
Corpus p50 66.2ms
Query 3.7K tok/s
Query p50 48.2ms
Reference →

SciFact

scientific retrieval en

Scientific claim verification using research literature

Corpus: 5,183 Queries: 300
Performance L4 b1 c16
Corpus 53.2K tok/s
Corpus p50 72.8ms
Query 5.1K tok/s
Query p50 51.0ms
Reference →

StackOverflowQA

technology retrieval en

Programming question answering from Stack Overflow

Corpus: 19,931 Queries: 1,994
Performance L4 b1 c16
Corpus 40.5K tok/s
Corpus p50 74.0ms
Query 62.4K tok/s
Query p50 75.6ms
Reference →

T2Reranking

general reranking zh

Chinese passage ranking benchmark

Quality
ndcg at 10 0.6533
map at 10 0.4716
mrr at 10 0.6980
Reference →

Self-hosted inference for search & document processing

Cut API costs by 50x, boost quality with 85+ SOTA models, and keep your data in your own cloud.

Github 2.0K

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