neural-bridge/rag-dataset-12000
Retrieval-Augmented Generation (RAG) Dataset 12000 Retrieval-Augmented Generation (RAG) Dataset 12000 is an English dataset designed for RAG-optimized models, built by Neural Bridge AI, and released under Apache license 2.0. Dataset Description Dataset Summary Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by allowing them to consult an external authoritative knowledge base before generating responses. This approach significantly… See the full description on the dataset page: https://huggingface.co/datasets/neural-bridge/rag-dataset-12000.
| Author / organization | neural-bridge |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 1.2K (as reported by Hugging Face) |
| Likes | 186 |
| Created | 2 October 2023 |
| Last updated at source | 5 February 2024 |
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- mradermacher/SatellaRAG-0.8B-GGUFModel · used to train
- EphAsad/SatellaRAG-0.8BModel · used to train
- mradermacher/karakuri-lm-8x7b-instruct-v0.1-GGUFModel · used to train
- QuantFactory/Llama-3.2-Taiwan-3B-Instruct-GGUFModel · used to train
- mradermacher/Llama-3.2-Taiwan-3B-Instruct-i1-GGUFModel · used to train
- mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUFModel · used to train
- mradermacher/karakuri-lm-8x7b-instruct-v0.1-i1-GGUFModel · used to train
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