Hi, I am looking for a way for the same.

ConfigurableDataSources = build_configurable_data_source_enum()
File "/home/ubuntu/miniconda3/envs/rrenv/lib/python3.10/site-packages/llama_index/core/ingestion/data_sources.py", line 117, in build_configurable_data_source_enum
DataSource(
File "/home/ubuntu/miniconda3/envs/rrenv/lib/python3.10/site-packages/pydantic/v1/main.py", line 341, in init
raise validation_error
pydantic.v1.error_wrappers.ValidationError: 1 validation error for DataSource
component_type
subclass of BaseComponent expected (type=type_error.subclass; expected_class=BaseComponent)

getting this error while importing:
from llama_index.postprocessor.colbert_rerank import ColbertRerank

Getting metadata of service context along with prompt (custom llm), so getting junk responses, any way to fix this?

@Logan M How can we integrate DeepInfra with llama index?

how to integrate a model running on another server to llama-index?