emacs-copilot VS ollama

Here's someone else getting something similar.

https://github.com/jart/emacs-copilot/issues/2

Ollama Github: https://github.com/ollama/ollama

I think the two main maintainers of Ollama have good intentions but suffer from a combination of being far too busy, juggling their forked llama.cpp server and not having enough automation/testing for PRs.

There is a new draft PR up to look at moving away from trying to juggle maintaining a llama.cpp fork to using llama.cpp with cgo bindings which I think will really help: https://github.com/ollama/ollama/pull/5034

To support the exploration, I've developed a simple Retrieval Augmented Generation (RAG) workflow that works completely locally on the laptop for free. If you're interested, you can find the code itself here. Basically, I've used Testcontainers to create a Postgres database container with the pgvector extension to store text embeddings and an open source LLM with which I send requests to: Meta's llama3 through ollama.

Note: Before proceeding further you need to download and run Ollama, you can do so by clicking here.

`file://*` URLs are now allowed => ollama works with simple html files now

https://github.com/ollama/ollama/commit/1a29e9a879433fc55cf1...

This guide assumes you have a supported NVIDIA GPU and have installed Ubuntu 22.04 on the machine that will host the ollama docker image. AMD is now supported with ollama but this guide does not cover this type of setup.

Nowadays, running powerful LLMs locally is ridiculously easy when using tools such as ollama. Just follow the installation instructions for your #OS. From now on, we'll assume using bash on Ubuntu.

I focused on supporting Ollama, GPT4All, and LMStudio, all of which run smoothly on a Mac computer. Many of these tools are user-friendly wrappers around Llama.cpp, allowing easy model downloads and providing a REST interface to query the available models. Last week, I also added "👋🏼 Jan" support because HuggingFace has endorsed this provider out-of-the-box.