ai VS dly

The Vercel AI SDK is built for OpenAI APIs and includes a range of tools for utilizing OpenAI APIs.

The AI is calling a function (https://platform.openai.com/docs/guides/function-calling) that is mapped to developer-controlled logic. The easiest thing to do is render specific UIs for every function call, but you can render however you'd like.

We kept the code snippets in the blog post brief, but you can see the full code for the demo here: https://github.com/vercel/ai/tree/main/examples/next-ai-rsc

In this blog post, we'll build a Next.js chatbot that runs on your computer. We'll use Ollama to serve the OpenHermes 2.5 Mistral LLM (large language model) locally, the Vercel AI SDK to handle stream forwarding and rendering, and ModelFusion to integrate Ollama with the Vercel AI SDK. The chatbot will be able to generate responses to user messages in real-time.

I recently set up the Next-Langchain-starter from Vercel, and it is phenomenal: Easy to setup, easy to modify. So far I've only done a few modifications:

Vercel AI SDK Playground Documentation

I used infrastructure as code (IaC) to provision and deploy Vercel's next-openai example. IaC is useful because it applies the same rigor of application code development to infrastructure provisioning. Instead of manual point and click in a cloud console which can be unrepeatable or error-prone, you just store and change all infrastructure configurations as code in source control .

You can use LLM providers other than hugging face such as Anthropic, Langchain adn OpenAI as well. Follow this doc to change the route handler(/api/chat/route.ts) and refer to the section of your chosen LLM provider.

**References: If you got stuck anywhere feel free to reach out. The Vercel documentation is excellent and the Github repo is also easily clonable if you don't have time to code from the start and just want to get stuck in customising.

After testing many products and writing my own taking note app I settled down with Obsidian.

It covers all your requirements and more. Plenty of useful plugins.

I even wrote a command line app to quickly add a single line note to the daily note of the day (https://github.com/wsw70/dly) with ideas how to connect it to fantastic apps such as AutoHotKey

I use Logseq as my note taking app and like it a lot (and wrote https://github.com/wsw70/dly to make quick notes taking even faster)

What I miss (but not enough to change) is the ability to have a plain Markdown page, and not only rely on bullets.

But again, Logseq is by far the closest to my style of taking notes (short, usually one/few lines blocks)

I moved to Logseq (https://logseq.com/).

It also better follows my note taking habits. It is usually a single sentence I want to be timestamped and searchable (which is also why I wrote https://github.com/wsw70/dly to simplify the quick note taking)

From the README: