ollama VS open-webui

Download: Go to https://ollama.com/ and click on the download link for your operating system.

Most AI resume tools call out to OpenAI or Anthropic and charge you for every request. Persona supports Ollama — which means you can run the AI model locally on your own hardware, with zero API costs and zero data leaving your machine.

To solve these, we built a stack that prioritizes integrity over ease. The centerpiece is Ollama, running the mxbai-embed-large model locally. This is the engine that translates human thought into high-dimensional coordinates.

Ollama for model serving

Fully offline: Point it at Ollama or LM Studio. Zero cost, nothing leaves your network.

Recommended hardware: The RTX 3060 with 12 GB VRAM is the budget king here — all these models fit with room to spare for KV cache overhead, even Gemma 4:12B (which needs ~8.5–9 GB with overhead). An RTX 4060 Ti 16 GB gives you more headroom. On the Apple side, any M2 or M3 MacBook with 16 GB unified memory handles these models comfortably via Ollama's Metal backend.

This guide shows how to swap out every cloud API with a local Ollama server running qwen3-coder:30b. Same tools, same workflows, no data leaving your network.

Related: 35B MoE on 2× 1080 Ti · Ollama

The sample is a tiny console app running entirely against a local Ollama model — no cloud keys, and every HTTP call is traced so I can see exactly what goes over the wire (complete sample code). There's a single skill on disk:

irm https://ollama.com/install.ps1 | iex

To get a local web UI (that is very similar to CharGPT) that supports Retrieval Augmented Generation (RAG), workflows and many other features, we'll use Open WebUI (https://github.com/open-webui/open-webui). Although it can be setup using locally installed Python, I've decided to try out their Docker image instead. Since I have an Nvidia card, I've used their Nvidia GPU supported docker image.

No cache hits seems ominous, could this be an OpenWebUI issue? It also seems ominous that Anthropic models are basically nowhere on the OpenWebUI leaderboards.

I'm only doing a cursory search, but it seems OpenWebUI doesn't support Anthropic caching, and they don't intend to? Other providers handle caching automatically (apparently?) but caching has to be specifically managed by the client with Anthropic. If that's correct that OpenWebUI doesn't support it, it would really send your costs spiralling, because you're being billed for all the tokens in the entire multi-turn conversation on every turn:

https://github.com/open-webui/open-webui/issues/4887

I have no experience with OpenWebUI though (honestly, first time I've heard of it). Just trying to be helpful. If I'm completely incorrect then apologies in advance for sending you down the wrong path.

Open WebUI — ChatGPT-like web interface for local models

No GUI — third-party frontends like Open WebUI fill this gap

OpenWebUI - User-friendly web interface

Repo: https://github.com/open-webui/open-webui

Open-webui works well for us: https://github.com/open-webui/open-webui

Open WebUI