metadata
task_categories:
- text-retrieval
language:
- en
pretty_name: Arxiv Search Index (From Semantic Scholar dump of August 1, 2024)
size_categories:
- 100M<n<1B
This repository contains a Qdrant index created from preprocessed and chunked arxiv papers from Semantic Scholar. The embedding model used is Alibaba-NLP/gte-large-en-v1.5.
This index is compatible with WikiChat v2.0. Refer to the following for more information:
GitHub repository: https://github.com/stanford-oval/WikiChat
Papers:
- WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia
- SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing
WikiChat
Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia
Online demo:
https://wikichat.genie.stanford.edu
