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rag-llama3

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0.1.4.1 rag_llama3-0.1.4.1-py3-none-any.whl

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Project: rag-llama3
Version: 0.1.4.1
Filename: rag_llama3-0.1.4.1-py3-none-any.whl
Download: [link]
Size: 25007
MD5: daa18007cdd20179f5c936feb5e0ab51
SHA256: 2e2285742e52cbc1b067f105b2874a30202313f7d7df2ce666af968ef7c77f77
Uploaded: 2024-08-17 22:32:46 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: rag_llama3
Version: 0.1.4.1
Summary: This repository contains a project that implements a Retrieval-Augmented Generation (RAG) system using the LLaMA3 model. The project focuses on creating embeddings for instructions of a professional bioinformatic software to help users conduct biology research.
Author: Songlin Zhao
Author-Email: tagorezhao[at]berkeley.edu
Home-Page: https://github.com/DNALinux/ai
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10.0, <4
Requires-Dist: ollama (==0.2.1)
Requires-Dist: numpy
Requires-Dist: chromadb (==0.5.3)
Requires-Dist: pypdf (==4.2.0)
Requires-Dist: beautifulsoup4 (==4.12.2)
Requires-Dist: nltk (==3.6.2)
Requires-Dist: langchain-community (==0.2.6)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 3639 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
rag_llama3/ChatWindow.py sha256=Suvt1sZKEbohnCOaNKANC_agsJ8VWOK8begd_TnCwRI 2721
rag_llama3/RAG.py sha256=6pd5c1Q650aEAaNOl6Q9G3rMvbUFjGzJ-5iIyAtMEh4 3523
rag_llama3/TextExtractor.py sha256=FG8DJ8ytJvqQ-NL2SKuNjEdr-KLnqc6LTi6gkAYEwkA 14383
rag_llama3/VectorDB.py sha256=fgpEu4quShf_vjFfPvbg3bcz-wW1W-OKtaXhrjz6DLI 7300
rag_llama3/__init__.py sha256=hcsT7kLGHgf1mAELcIbKlE9Uo1OKn391iVQY4ZNut9A 223
rag_llama3/main.py sha256=WKdzNI_dyu33XhjUqpERV7U8qLctSmfRYd2lYK-37uk 936
rag_llama3/preprocess_text.py sha256=bAxfm6xWwjLA6Q0aqz3M5-JTOJZZdWfkB5gW-sYqLFo 2550
rag_llama3-0.1.4.1.dist-info/LICENSE sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY 35149
rag_llama3-0.1.4.1.dist-info/METADATA sha256=BtmCbW4g4--w0SQkKct4CA65Fwf8FlWPXV65rO6M4Mg 4693
rag_llama3-0.1.4.1.dist-info/WHEEL sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ 92
rag_llama3-0.1.4.1.dist-info/entry_points.txt sha256=j9ZpCys7lWnowYLtArWqb5-MQwdODHC2GZl8d62WNH0 52
rag_llama3-0.1.4.1.dist-info/top_level.txt sha256=AAU60bBjVqsgANmeuEc-rteAESQY9MZH0eWbnTlfqwk 11
rag_llama3-0.1.4.1.dist-info/RECORD — —

top_level.txt

rag_llama3

entry_points.txt

[console_scripts]
rag-llama3 = rag_llama3.main:main