Repository: explodinggradients/ragas
Issue: Unable to import evaluate from  ragas.llama_index
Root cause: Documentation Deficiency

[X] I have checked the [documentation](https://docs.ragas.io/) and related resources and couldn't resolve my bug.

**Describe the bug**
When trying to reproduce the code from [Ragas documentation](https://docs.ragas.io/en/stable/howtos/integrations/llamaindex.html)

The following line of code throws an import error:

`from ragas.llama_index import evaluate`

The module does not seem implemented. Is the documentation up to date?

Ragas version: 0.1.3
Python version: 3.10

**Code to Reproduce**
Just try to reproduce the code from [Ragas integration with LlamaIndex](https://docs.ragas.io/en/stable/howtos/integrations/llamaindex.html)

**Error trace**

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
Cell In[19], line 1
----> 1 from ragas.llama_index import evaluate

ModuleNotFoundError: No module named 'ragas.llama_index'
**Expected behavior**
A clear and concise description of what you expected to happen.


**Additional context**
Add any other context about the problem here.

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Same error with python 3.10.6 too 

@vecorro I read this in a medium article - "It is worth mentioning that if you install the latest version(v0.1.0rc1) using pip install git+https://github.com/explodinggradients/ragas.git, there is no support for LlamaIndex. "

What worked for me is downgrading by pip uninstalling ragas and llama-index and then
pip install ragas==0.0.22
pip install llama-index==0.6.9

Here is my quick fix, not sure where I got it:  
```
from ragas.metrics.base import MetricWithLLM
from langchain_openai import OpenAIEmbeddings, ChatOpenAI
from ragas.llms import LangchainLLMWrapper, llm_factory
from ragas.metrics import (
    faithfulness,
    answer_relevancy,
    context_precision,
    context_recall,
)

def init_all_metrics() -> list[MetricWithLLM]:
    metrics = [
        faithfulness,
        answer_relevancy,
        context_precision,
        context_recall,
        harmfulness,
    ]

    ragas_llm = llm_factory()
    embed_model = OpenAIEmbeddings()

    # NOTE: error from RAGAS, need this fix
    for m in metrics:
        m.__setattr__("llm", ragas_llm)
        m.__setattr__("embeddings", embed_model)

    return metrics
```

Need to import: `from ragas import evaluate`

Thanks @dxv2k, I appreciate your help!

same issue

hey folks, do checkout the updated docs [LlamaIndex | Ragas](https://docs.ragas.io/en/stable/howtos/integrations/llamaindex.html)

but in a gist this is how it has changed
```py
from ragas.integrations.llama_index import evaluate

result = evaluate(
    query_engine=query_engine,
    metrics=metrics,
    dataset=ds_dict,
    llm=evaluator_llm,
    embeddings=OpenAIEmbedding(),
)
```