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Dataset,Category,Dataset Size,Moorcheh - Vector (Quantized),Elasticsearch - Vector (Floating-Point),Pinecone with Cohere - Vector (Floating-Point),PGVector - Vector (Floating-Point),Qdrant - Vector (Floating-Point) |
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AILA2019-Statutes,Legal & Regulatory,197,0.2283029778,0.2228058812,0.2096943756,0.2222,0.221341 |
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Apple,API Documentation,678,0.6424835047,0.6361695656,0.6526975093,0.6362,0.636662 |
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AILA2019-Case,Legal & Regulatory,2914,0.137408381,0.1694424562,0.112210634,0.1693,0.169729 |
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LeCaRDv2,Legal & Regulatory,3000,0.6617305975,0.6945480114,0.540271126,0.6938,0.696224 |
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NFCorpus,Medical & Clinical,3633,0.3611070812,0.3947526222,0.3608173257,0.3947,0.393532 |
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REGIR-UK2EU,Legal & Regulatory,3930,0.5783631138,0.6675942065,0.485663605,0.6676,0.667251 |
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HC3Finance,Financial,3933,0.4005577889,0.4277354932,0.3786120347,0.4277,0.432085 |
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ConvFinQA,Financial,6503,0.7429922115,0.7686119643,0.7880096119,0.7691,0.764325 |
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REGIR-EU2UK,Legal & Regulatory,10000,0.6214562587,0.6414522356,0.6453268539,0.6315,0.636338 |
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FinQA,Financial,11865,0.6832087105,0.6927954847,0.7402118042,0.6816,0.6916 |
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FinanceBench,Financial,15325,0.5781970865,0.673585559,0.6382297611,0.6636,0.671871 |
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LegalQuAD,Legal & Regulatory,17702,0.667328757,0.6846624256,0.7890921244,0.6685,0.685607 |
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ACORDAR,Legal & Regulatory,31589,0.3084825269,0.3414781442,0.3011935834,0.3402,0.321282 |
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FiQA,Financial,57638,0.5398737057,0.5689800398,0.5334960692,0.5633,0.568467 |
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