obsidian-smart-connections

Smart Connections[0] plug-in for Obsidian is worth checking out. It does a really good job of indexing (with local or OpenAI embeddings) and RAG allowing you to chat with various models about your notes. The chunking and context algorithms it uses seem to be well designed and find most/all relevant details for most things I try to discuss. It's well implemented and provides useful and interesting discussions with my journal/notes. 0 - https://github.com/brianpetro/obsidian-smart-connections

You might like the Smart Connections plugin for Obsidian. https://github.com/brianpetro/obsidian-smart-connections

There's actually a very popular plugin for Obsidian that integrates RAG + LLM into Obsidian called Smart Connections. https://github.com/brianpetro/obsidian-smart-connections

Interesting project, wishing you all the best! If you are using Obsidian, Smart Connections in v2 (1) does also support local embeddings and shows related notes based on semantic similarity. It's not super great on bi/multi-lingual vaults (DE + EN in my case), but it's improving rapidly and might soon support embedding models that cater for these cases as well. (1) https://github.com/brianpetro/obsidian-smart-connections

For my personal notes, I use Smart Connections[1] with Obsidian. Since the notes are stored in plain markdown files, 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

The holy grail. https://github.com/brianpetro/obsidian-smart-connections https://wfhbrian.com/introducing-smart-chat-transform-your-o...

Smart Connections allows you to search using embeddings[1]. [1] https://github.com/brianpetro/obsidian-smart-connections

I just search Obsidian plugins and there are 3 that might work for you: - https://github.com/louis030195/obsidian-ava - https://github.com/brianpetro/obsidian-smart-connections - https://github.com/bramses/chatgpt-md I haven't looked into any of them in depth, but searching through a large corpus of text and using that to interact with GPT3 or GPT4 has some pretty good solutions already.

As of 2022, https://get.mem.ai/mem-x has one of the best AI for Notes integrations. I'm sure 2023 will be fruitful. I'm already seeing some Obsidian/Local experiments. > making connections between notes > related notes in it's context. Mem -> similar mems Obsidian -> https://github.com/brianpetro/obsidian-smart-connections | https://github.com/deepfates/silicon > asking questions/searching Mem -> search is NLP/AI by default Markdown -> https://github.com/debanjum/khoj Obsidian -> https://twitter.com/Sarah_A_Bentley/status/16110695760993362... > new (summary) notes based on (many) old notes There are a lot of summarizers on the web. They work great on whole articles. The problem is, how do you summarize hundreds (and more) of independent/related smaller notes ?