chroma-langchain VS obsidian-smart-connections

For my personal notes, I use Smart Connections[1] with Obsidian. I am considering devising my own solution using LlamaIndex[2] in the near future.

For coding, I use Copilot[3]. While it's been great for writing boilerplate code, it falls short in every other regard. I also had the opportunity to try the new version of Copilot as well, but it feels like a glorified ChatGPT inside VSCode.

For everything else, I use a tiny tool I made[4] which enables me to invoke my own prompts in basically any application that allows me to select text.

[1] https://github.com/brianpetro/obsidian-smart-connections

[2] https://gpt-index.readthedocs.io/en/latest/getting_started/s...

[3] https://github.com/features/copilot

[4] https://github.com/overflowy/chat-key

Adding options to us local LLM's like GPT4all, or alpaca #141

Smart Connections allows you to search using embeddings[1].

[1] https://github.com/brianpetro/obsidian-smart-connections

There is actually a plugin that leverages AI to do it. I haven't used it yet plus there might also be a concern over giving a third party AI access to your notes but if you are interested here is the link. https://github.com/brianpetro/obsidian-smart-connections

The "smart connection" plugin is ideal for your search needs. This plugin allows you to search using semantics rather than keywords, just like Google. https://github.com/brianpetro/obsidian-smart-connections

Here is the Obsidian plugin I was referring to: https://github.com/brianpetro/obsidian-smart-connections

I am very attracted to the Smart Connections plugin, which would implement Obsidian with the only real feature I envy other centralized PKMs (such as Mem X): that of finding and connecting to similar notes. The point is this: the price (paid after each use) due to Open AI for using the GPT engine.

I'm using Obsidian with the Smart Connections plugin. I then used chatGPT (4) to write a python script that chatGPT summarized this way:

Smart Connections