mddunlap924 / LangChain-SynData-RAG-Eval

LangChain, Llama2-Chat, and zero- and few-shot prompting are used to generate synthetic datasets for IR and RAG system evaluation

Date Created 2023-10-21 (about a year ago)
Commits 15 (last one about a year ago)
Stargazers 32 (0 this week)
Watchers 2 (0 this week)
Forks 7
License mit
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RepositoryStats indexes 589,134 repositories, of these mddunlap924/LangChain-SynData-RAG-Eval is ranked #554,621 (6th percentile) for total stargazers, and #481,361 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #15,797/17,281.

mddunlap924/LangChain-SynData-RAG-Eval is also tagged with popular topics, for these it's ranked: llm (#2,503/2801),  nlp (#2,329/2415),  langchain (#565/642),  rag (#452/500),  prompt (#287/311),  prompt-engineering (#241/284),  question-answering (#250/262),  llama2 (#211/238),  information-retrieval (#209/214),  retrieval-augmented-generation (#163/183)

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15 commits on the default branch (main) since jan '22

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updated: 2024-11-17 @ 11:43pm, id: 708117416 / R_kgDOKjUDqA