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awesome-llama: https://github.com/michaelnny/RAG-LLaMA

llama2 llm rag

Score: 1.6094379124341003

Last synced: about 6 hours ago
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Repository metadata:

A clean and simple implementation of Retrieval Augmented Generation (RAG) to enhanced LLaMA chat model to answer questions from a private knowledge base. We use Tesla user manuals to build the knowledge base, and use open-source embedding and Cross-Encoders reranking models from Sentence Transformers in this project.


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Last synced: 12 days ago

Total Commits: 9
Total Committers: 1
Avg Commits per committer: 9.0
Development Distribution Score (DDS): 0.0

Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Michael Hu m****y@g****m 9

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Last synced: 9 months ago

Total issues: 0
Total pull requests: 0
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Total issue authors: 0
Total pull request authors: 0
Average comments per issue: 0
Average comments per pull request: 0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0

Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

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Dependencies

pyproject.toml pypi
requirements.txt pypi
  • PyMuPDF ==1.23.26
  • numpy *
  • sentencepiece *
  • torch >=2.1.0
  • transformers ==4.39.0
datasets/embed_alert_codes/meta.json cpan