obsidian-rag

Obsidian-Rag is a local first project that leverages Langchain to perform RAG on markdown files. It is particularly designed to work with the Obsidian note-taking app since I know we're all nerds (Waterloo strong 💪).

Features

• Load markdown files from a given directory.
• Vectorize the loaded files for further processing.
• Perform similarity search on vectorized data.
• Utilize the Langchain library's functionalities such as ChatOllama, ObsidianLoader, OllamaEmbeddings, and Chroma.

Dependencies

Must have installed requirements.txt and an Ollama instance with Mistral must be running

Usage

The main script of the project is obsidian_rag.py. It accepts command-line arguments for the file path and a boolean flag to decide whether to vectorize the file or not.

python obsidian_rag.py --filepath YOUR_FILE_PATH --vectorize

This will open up a gradio interface which is still WIP and should be made into a chat interface.

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