obsidian-ava VS khoj

Today we’re going to learn how to build a recommendation system for a social publishing platform like Medium. I wanted to share what I learned building the popular Obsidian plugin AVA that recommends your notes.

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

You can try https://app.anotherai.co which does exactly this

is this a paid service? the github repo is public but links to a paid service or plugin

Hi foks Louis & Ben here.

We just wanted to share Embedbase. Embedbase is an open-source api to easily create, store, and rerieve embeddings.

It started out as an internal api for an Obsidian plugin we developed called [AVA](https://github.com/louis030195/obsidian-ava). We use it in AVA to find similar notes ([see small demo](https://user-images.githubusercontent.com/25003283/213157399...)), but you can potentially use it to do anything that openai embeddings can do.

Right now it's really quite barebones and basically just abstracts the openai embeddings api & pinecone, but we're planning on making it easy to work with whatever database or auth mechanism.

You can have a look at the github repo here:

This plugin might do the trick: https://github.com/louis030195/obsidian-ava. I don`t use it myself, but there is a "Suggest Tags" command.

Obsidian AVA (summarization, write & rewrite)

There are already several RAG chat open source solutions available. Two that immediately come to mind are:

Danswer

https://github.com/danswer-ai/danswer

Khoj

https://github.com/khoj-ai/khoj

I'm a fan of Khoj. Been using it for months. https://github.com/khoj-ai/khoj

https://github.com/khoj-ai/khoj

This is the easiest I found, on here too.

Thanks for the feedback. Does your machine have a GPU? 32GB CPU RAM should be enough but GPU speeds up response time.

We have fixes for the seg fault[1] and improvement to the query speed[2] that should be released by end of day today[3].

Update khoj to version 0.10.1 with pip install --upgrade khoj-assistant to see if that improves your experience.

The number of documents/pages/entries doesn't scale memory utilization as quickly and doesn't affect the search, chat response time as much

[1]: The seg fault would occur when folks sent multiple chat queries at the same time. A lock and some UX improvements fixed that

[2]: The query time improvements are done by increasing batch size, to trade-off increased memory utilization for more speed

[3]: The relevant pull request for reference: https://github.com/khoj-ai/khoj/pull/393

We recently integrated Llama 2 into Khoj. I wanted to share a short real-world evaluation of using Llama 2 for the chat with docs use-cases and hear which models have worked best for you all. The standard benchmarks (ARC, HellaSwag, MMLU etc.) are not tuned for evaluating this

Self-host your Notion assistant using the instructions here. You'll need Python >= 3.8 to get started.

Here's an early example: https://github.com/khoj-ai/khoj