🐙 MVP is ready!

🌟 Features

📝 Chat with your Notes

RAG pipeline: All your notes will be embedded into vectors and then retrieved based on the similarity to your query in order to generate an answer based on the retrieved notes
Get reference links to notes: Because the answers are generated based on your retrieved notes we can trace where the information comes from and reference the origin of the knowledge in the answers as Obsidian links
Chat with LLM: You can disable the function to answer queries based on your notes and then all the answers generated are based on the chosen LLM’s training knowledge
Save chats: You can save your chats and continue the conversation at a later time
Different chat views: You can choose between two chat views: the ‘comfy’ and the ‘compact’ view

🤖 Choose ANY preferred Large Language Model (LLM)

Ollama to integrate LLMs: Ollama is a tool to run LLMs locally. Its usage is similar to Docker, but it's specifically designed for LLMs. You can use it as an interactive shell, through its REST API, or using it from a Python library.
Quickly switch between LLMs: Comfortably change between different LLMs for different purposes, for example changing from one for scientific writing to one for persuasive writing.
Use ChatGPT: Although, our focus lies on a privacy-focused AI Assistant you can still leverage OpenAI’s models and their advanced capabilities.

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