Show HN: A web-app to explore topics using LLM

[graphitout]

https://github.com/charstorm/llmbinge

Lately, I've been tinkering with llama.cpp and the ollama server. The speed of these tools caught my attention, even on my modest 4060 setup. I was quite impressed with the generation quality of models like Mistral.

But I was a bit unhappy at the same time because whenever I explore a topic, there is a lot of typing involved when using the chat interface. So I needed a tool to not only give a response but also generate a set of "suggestions" which can be explored further just by clicking.

My experience in front-end development is limited. Nonetheless, I tinkered together a small web app to achieve the same goal. It is built with vuejs3+vuetify.

Code: https://github.com/charstorm/llmbinge/

[pbronez]

Interesting concept, can you share some more detail about the implementation? How are you generating the different portions of the interface? Seems like you have a couple canned prompts that trigger a few exploratory ideas in addition to a primary response.

[pbronez → pbronez]

Found the relevant source file

https://github.com/charstorm/llmbinge/blob/main/llmbinge/src...

[graphitout → pbronez]

You are right.

- llm_generate() - this is the core function which calls ollama API

- get_related() - this will give a sequence of related topics for a given topic and description

- llm_get_aspect_query() - this is tricky. The interface has a fixed set of aspects for every response. Like history, related ideas, people etc. I wanted a way to create new query based on an existing query and a given aspect. This func does the rephrasing of the query.

- App.vue: handle_related() - there is a tiny bit here. When going to another "suggested" topic, it seems we have to give it some context.