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a RAG framework that can search and answers questions from existing docs

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DocuLLM

a documentation framework that can search and answers questions from existing docs. Currently it uses ChromaDB as database and Cohere as the LLM. You would need a Cohere API key set in your environment. Cohere has a free dev tier, check it out!

More LLM support on the way!

Setup

# Clone the repository
git clone https://github.com/mayukh18/DocuLLM.git

# Install the dependencies
pip install -r requirements.txt

Usage

1. Ingest:

Ingest a repository to the system so that it can be queried upon. The --update flag is optional and updates a pre-existing repository in the database. The --path can be a URL or a local path.

python docullm.py --ingest --update --path "https://github.com/pandas-dev/pandas"

2. Query:

Query the system with a question.

python docullm.py --query --repository pandas --question "how to do aggregation in pandas?"

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a RAG framework that can search and answers questions from existing docs

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