Has anyone built any Agents with DBRX in LlamaIndex? How does it perform? Are there any considerations or issues with the LI abstractions (I understand for a while most of LangChain and LlamaIndex were tilted towards OpenAI)
I'm familiar with the abstraction part - I just wasn't sure if the abstractions were generalized enough to support DBRX like it does OpenAI for example.
#define the llm here
llm = Your dbrx llm
# Now make the llm global
from llama_index.core import Settings
Settings.llm = llm
# or pass the llm inside every func
query_engine = index.as_query_engine(llm=llm,..)