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Author: Interdimensional Walker

Requires: Python >=3.8

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Project description

Cybrex AI

Cybrex AI integrates several strategies to use AI for facilitating navigation through science:

  • IPFS is utilized to access the Standard Template Construct (STC).
  • STC provides the raw documents for Cybrex.
  • Embedding Model (OpenAI or Instructor-XL) constructs embeddings for these documents and Cybrex stores these embeddings locally in the Chroma database.
  • These embeddings are then used to filter relevant documents before they are sent to LLM (Open AI, WizardLM or any other one) for Q&A and summarization.

Install

You should have installed IPFS

pip install cybrex

Upon its initial launch, cybrex will create a ~/.cybrex directory containing a config.yaml file and a chroma directory. You can edit the config file to point to different IPFS addresses.

Usage

# Summarize a document
cybrex sum-doc --field doi --value 10.1155/2022/7138756

# Question a document
cybrex chat-doc --field doi --value 10.1155/2022/7138756 \
  --question "What is the antivirus effect of resveratrol?"
  
# Question science
cybrex chat-sci --question "What is the antivirus effect of resveratrol?"

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for interdimensional_walker from gravatar.com interdimensional_walker

Unverified details

These details have not been verified by PyPI
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Meta

Author: Interdimensional Walker

Requires: Python >=3.8

Classifiers

Release history Release notifications | RSS feed

1.12.10

1.12.9

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This version

1.0.9

1.0.8

1.0.7

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

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