• Install and launch Ollama: ollama serve
• Create new environment: conda env create -n ResearchChain -f environment.yml
• Activate the new environment: conda activate ResearchChain
• Pull the model you intend to use: ollama pull zephyr:7b-beta-q5_K_M (default)
• Pull an embedding model: ollama pull nomic-embed-text (default)
• Run: python3 main.py

• The default models can be seen in the core/models/configurations folder.
  
• We're using python version 3.9
• environment.yml is the linux env, but for macOS (silicon) and windows there are other available
• Apple intel is not supported anymore, but you can still get it working by manually installing any missing package that comes up during the program execution.

A set of workers watching for new tasks 24/7.
This is the tool part of this project, alone it cannot schedule new tasks, unless as a side effect of a previous task. Consists of 3 infinitely scalable workers, which together with a 4th auto scheduling worker app, create a complete loop. This design allows for near infinite scalability potential.

Built in examples of how to interact with Research Chain, the ones that we offer are WebUI, with plans for AutoScheduler and NewsScheduler coming soon.
These services automatically dispatch, analyze and manage Research Chain.
AutoScheduler and NewsScheduler should work alongside Web Interface, to supply constant 24/7 knowledge and news analysis, and to expand its knowledge base by scheduling crawls based on the provided areas of interest.

If you'd like to contribute to this project, feel free to reach out to us through my telegram: https://t.me [slash] latkaignacy.
We'll introduce you into this project, fix any issues that you may encounter and help you find a good first issue.
This is a great way to expand your portfolio, as there are nearly endless ways to expand this app, that we already have planned, and many more which we don't :)

THIS SOFTWARE IS INTENDED FOR EDUCATIONAL AND RESEARCH PURPOSES ONLY. WE ARE NOT RESPONSIBLE FOR ANY ILLICIT USES OF THIS SOFTWARE.