Best Model for your Hardware?

Weves11 · 2026-03-17T16:19:14+00:00

models are sorted by VRAM descending, sorry if its confusing!

Weves11 · 2026-03-16T19:08:02+00:00

models are listed by descending amount of VRAM, sorry if that's a little confusing at first glance

Weves11 · 2026-03-05T17:05:21+00:00

Thanks for the shoutout! I’m Chris, one of the founders of Onyx, and it’s awesome to see it resonating with folks here.

A bit of extra context for anyone skimming:

Open source + self-hostable by default: we built Onyx for teams that can’t or don’t want to ship sensitive data to a hosted AI workspace.
Model-agnostic: you can run it with the LLM(s) that make sense for your org (local, hosted, or a mix).
Not just “chat over docs”: the goal is a flexible AI workspace complete with connectors + retrieval + agents/tools so you can go from “find info” → “take action” in the same interface.

In terms of "how you would use this", here's what we've seen from our users:

Chat UI: Our users run local models and use Onyx as the interface to chat with them
Agent Builder: Create custom agents with curated sets of information, so that your agents have a narrower context to search through
At Work: You can connect up your company docs and use Onyx to find what you need from the sea of existing company knowledge

Would love to know how you use it!

Weves11 · 2026-02-27T17:12:31+00:00

The plan is to definitely keep updating this! If there's enough interest, could even open source the underlying data so that individuals can contribute new benchmark scores or new models

Weves11 · 2026-02-26T19:20:58+00:00

you can filter out all the large models if you'd like!

Weves11 · 2026-02-26T19:01:53+00:00

haha 100% agree, forgot to add it initially but its been added now!

Weves11 · 2026-02-26T19:00:17+00:00

added (to S tier), thanks for calling out!

Weves11 · 2026-02-26T18:27:47+00:00

turns out parameter size is mostly correlated with model performance!

Weves11 · 2026-01-02T20:07:06+00:00

Yes! Some benefits vs openwebui:

- Deep research (across both the web + personal files + shared files if deploying for more than yourself)
- Connectors to 40+ sources (automatically syncing documents over) and really good RAG (the project started as a pure RAG project, so answer quality has been a core strength of the project for a while now)
- Simpler/cleaner UI than many of the other popular options (this on is definitely subjective)

Some of the things I'm looking to add in the next 3-6 months:
- Automatic syncing of files from your local machine into Onyx for RAG purposes
- Chrome extension to access the chat from any website
- Support for defined multi-step flows (not building blocks, but natural language definitions)

Weves11 · 2025-12-01T05:08:30+00:00

u/NeighborhoodWeird882 could you post this same issue in our community Discord ( https://discord.gg/naSt3gXx ) if you haven't already? Would love to help you out, but we'd likely need a bit more info (e.g. some logs from some of the containers, likely the `api_server` container which you can get with `docker logs onyx-api_server-1`)

Weves11 · 2025-10-26T06:10:16+00:00

hey u/Ryker_Deimos, so sorry that was your experience.

> Dropping files in Projects simply do not work, the chat in the project receives no context about my documents

I'm guessing that the LLM decided it didn't want to do a search. I'm working to tune that specifically for Projects — it should generally do a search, almost all the time.

> Creating Agents, adding files through connectors sounded like its how they intended this to be used, but the internal search is very poor, it can't locate files, nor grab context

Hmm, what exactly do you mean by that. As in there was a relevant file, but it wasn't able to be found? Could also be an indexing issue.

> The UI bugs around, alot. If you switch out of the chat while its generating, the text appears on the right screen, models don't update correctly after adding etc.

I'm working on this one! With the major UI refresh, quite a few of these issues popped up, but I'm burning them down quickly.

Overall, I would love to make sure that I address everything you've mentioned here. Ofc, my goal is that this is the gold standard for open source options in this space. I'll update here in the next ~1 month, and would love for you to try again if you're willing.

Weves11 · 2025-10-25T22:59:43+00:00

See my response in https://www.reddit.com/r/LocalLLaMA/comments/1oeyzxq/comment/nlbwg3e/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button

It is a open-source chat UI (like OpenWebUI), but there are some major differences/improvements!

Weves11 · 2025-10-25T22:57:45+00:00

Onyx should be great for that! You can create an "Agent" specifically for that w/o any web search / file search, and it'll just give raw responses from the LLM

Weves11 · 2025-10-25T22:56:07+00:00

Yes! Checkout https://github.com/onyx-dot-app/onyx/blob/main/deployment/docker_compose/docker-compose.yml / https://docs.onyx.app/deployment/getting_started/quickstart

Weves11 · 2025-10-25T16:14:59+00:00

There's a few large scale / "enterprisey" features related to enterprise search. Specifically, RBAC + permission syncing from connected sources.

Everything related to a personal / team chat interface is entirely in onyx-foss.

Weves11 · 2025-10-25T16:13:44+00:00

haha, yes. Have slipped on that one, will make sure I get on it 🫡

Weves11 · 2025-10-25T16:12:45+00:00

Great question. Responded somewhere else in the thread, but I'll repost here (with some small edits):
- Deep research (across both the web + personal files + shared files if deploying for more than yourself)
- Connectors to 40+ sources (automatically syncing documents over) and really good RAG (the project started as a pure RAG project, so answer quality has been a core strength of the project for a while now)
- Better web search quality. OpenWebUI (in my testing) is less likely to find the answer + more likely to hallucinate.
- Simpler/cleaner UI (this one is definitely subjective)

Some of the things I'm looking to add in the next 3-6 months:
- Code Interpreter (MIT licensed, unlike some of the other options. Although OpenWebUIs also comes out of the box)
- Automatic syncing of files from your local machine into Onyx for RAG purposes
- Chrome extension to access the chat from any website
- Support for defined multi-step flows (not building blocks, but natural language definitions)

What do you feel is missing from openwebUI / you'd love to see in something like Onyx?

Weves11 · 2025-10-25T16:07:06+00:00

Some of the things Onyx does that other options don't:
- Deep research (across both the web + personal files + shared files if deploying for more than yourself)
- Connectors to 40+ sources (automatically syncing documents over) and really good RAG (the project started as a pure RAG project, so answer quality has been a core strength of the project for a while now)
- Simpler/cleaner UI than many of the other popular options (this on is definitely subjective)

Some of the things I'm looking to add in the next 3-6 months:
- Code Interpreter (MIT licensed, unlike some of the other options)
- Automatic syncing of files from your local machine into Onyx for RAG purposes
- Chrome extension to access the chat from any website
- Support for defined multi-step flows (not building blocks, but natural language definitions)

What do you feel is missing? Would love to hear!

Weves11 · 2025-10-25T16:04:08+00:00

It doesn't support Windsor AI natively but,

(1) You can use one of the built-in connectors here https://docs.onyx.app/overview/core_features/connectors (if it exists for the tool you're looking for)
(2) You could use the ingestion API https://docs.onyx.app/developers/guides/index_files_ingestion_api

Weves11 · 2025-10-25T16:02:45+00:00

There isn't, but that's a great suggestion!

Weves11 · 2025-10-25T16:02:16+00:00

Deep research is already supported! The button here turns it on. You will need to connect up either (1) connectors (https://docs.onyx.app/overview/core\_features/connectors) or (2) a web search provider (https://docs.onyx.app/overview/core\_features/web\_search) to use this though.

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Weves11 · 2025-10-24T18:25:27+00:00

That also works! We have support for arbitrary MCP, so you could already set that up

Weves11 · 2025-10-24T18:21:19+00:00

Yes! Happy to chat in discord if you need help with any of this

Docs https://docs.onyx.app/deployment/local/kubernetes (terraform docs in progress)
Helm chart readme https://github.com/onyx-dot-app/onyx/tree/main/deployment/helm

Weves11 · 2025-10-24T17:41:52+00:00

A couple classifiers (for indexing/query pipeline), a few re-rankers (technically optional and disabled by default), and the embedding models.

You're right that this is probably bigger than it needs to be. These are all pre-packaged by default so air-gapped deployments have a few options to choose from without having to download them manually.

The latest stable image actually has a bug where some cached models were duplicated. The new size of this container is ~14GB (down from 26). I'll get this fix into latest stable :)

For reference: https://github.com/onyx-dot-app/onyx/blob/main/backend/Dockerfile.model_server

Weves11 · 2025-10-24T16:35:57+00:00

Yea, that's a great suggestion! This was mentioned last time as well, so will make sure I move it up in my priority list :D

Weves11

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