📊

Dataset

Bge Base En V1.5 Rag Query Adapter

Name: Bge Base En V1.5 Rag Query Adapter
Creator: 7j

by 7j 7j/bge-base-en-v1.5-rag-query-adapter

Free2AITools Nexus Index

39.7

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0

P: Popularity 13

R: Recency 65

Q: Quality 65

Tech Context

Vital Performance —

Source →

Data Integrity 39.7 FNI Score

- Size

- Rows

- Tokens

Dataset Information Summary
Entity Passport
Registry ID	7j/bge-base-en-v1.5-rag-query-adapter
Provider	huggingface

📜

Cite this dataset

Academic & Research Attribution

BibTeX

@misc{hf_dataset_7j_bge_base_en_v1_5_rag_query_adapter,
  author = {7j},
  title = {Bge Base En V1.5 Rag Query Adapter Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/7j/bge-base-en-v1.5-rag-query-adapter}},
  note = {Accessed via Free2AITools.}
}

APA Style

7j. (2026). Bge Base En V1.5 Rag Query Adapter [Dataset]. Free2AITools. https://huggingface.co/7j/bge-base-en-v1.5-rag-query-adapter

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0

Popularity (P) 13

Recency (R) 65

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Bge Base En V1.5 Rag Query Adapter: Authority (A:0), Popularity (P:13), Recency (R:65), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology

Open data Updated: Live data

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Downloads

192

🎯 Task Categories

embedding

👁️ Data Preview

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Row-level preview not available for this dataset.

Schema structure is shown in the Field Logic panel when available.

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🧬 Field Logic

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Schema not yet indexed for this dataset.

Dataset Specification

No documentation available for this entry.

Social Proof

HuggingFace Hub

192Downloads

Hub Discussions

🤗 Data Source: Hugging Face ↗

🔄 Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: hf-dataset--7j--bge-base-en-v1.5-rag-query-adapter
slug: 7j--bge-base-en-v1.5-rag-query-adapter
source: huggingface
author: 7j
license
tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:20000, loss:matryoshkaloss, loss:multiplenegativesrankingloss, en, dataset:sentence-transformers/msmarco-bm25, dataset:sentence-transformers/natural-questions, arxiv:1908.10084, arxiv:2205.13147, arxiv:1807.03748, base_model:baai/bge-base-en-v1.5, base_model:finetune:baai/bge-base-en-v1.5, model-index, text-embeddings-inference, endpoints_compatible, region:us

⚙️ Technical Specs

architecture: BertModel
params billions: 0.11
context length: 512
pipeline tag: sentence-similarity

📊 Engagement & Metrics

downloads: 192
stars: null
forks: null

Data indexed from public sources. Updated daily.