1/ large connector suite + good RAG. Answers at scale is hard, and from our enterprise search roots, we've spent a lot of time with it. It's something that many teams expect from their chat UI.
2/ deep research + open-source code interpreter.
3/ simpler UX. LibreChat has a lot of customizability exposed front and center to the user, which is great for the power user but can be overwhelming for someone new to using AI systems.
What struck me most was the requirement. I've been self-hosting librechat on a raspberry pi. I was hoping to test Onyx on it, but no way. Its requirement is 4 vCPU and 10GB RAM? I wish I can take out components that resource hungry and have only the basic so that I can serve it on a less demanding server.
Some of the key differences:
1/ large connector suite + good RAG. Answers at scale is hard, and from our enterprise search roots, we've spent a lot of time with it. It's something that many teams expect from their chat UI.
2/ deep research + open-source code interpreter.
3/ simpler UX. LibreChat has a lot of customizability exposed front and center to the user, which is great for the power user but can be overwhelming for someone new to using AI systems.
What struck me most was the requirement. I've been self-hosting librechat on a raspberry pi. I was hoping to test Onyx on it, but no way. Its requirement is 4 vCPU and 10GB RAM? I wish I can take out components that resource hungry and have only the basic so that I can serve it on a less demanding server.
LibreChat has recently been acquired by ClickHouse, so who knows what their future holds.