The example in ’https://docs.ragas.io/en/latest/getstarted/rag_testset_generation/‘ is not available

[Createsnow]

[ ] I have checked the documentation and related resources and couldn't resolve my bug.

Describe the bug
A clear and concise description of what the bug is.

https://docs.ragas.io/en/latest/getstarted/rag_testset_generation/

Ragas version: 0.2.5
Python version: 3.12

Code to Reproduce

import os
from langchain_openai import AzureChatOpenAI
from langchain_openai import AzureOpenAIEmbeddings
from ragas.llms import LangchainLLMWrapper
from ragas.embeddings import LangchainEmbeddingsWrapper
from ragas.testset import TestsetGenerator
from langchain_community.document_loaders import DirectoryLoader
from langchain_community.document_loaders.pdf import PyPDFLoader


os.environ["AZURE_OPENAI_API_KEY"] = "xx"

azure_configs = {
        "base_url": xx,
        "model_deployment":xx
        "model_name": "gpt-4o",
        "api_version": "2023-03-15-preview",
        "embedding_deployment":xx
        "embedding_name": "text-embedding-3-large",
    }

generator_llm = LangchainLLMWrapper(AzureChatOpenAI(
    openai_api_version="2023-05-15",
    azure_endpoint=azure_configs["base_url"],
    azure_deployment=azure_configs["model_deployment"],
    model=azure_configs["model_name"],
    validate_base_url=False,
))

# init the embeddings for answer_relevancy, answer_correctness and answer_similarity
generator_embeddings = LangchainEmbeddingsWrapper(AzureOpenAIEmbeddings(
    openai_api_version="2023-05-15",
    azure_endpoint=azure_configs["base_url"],
    azure_deployment=azure_configs["embedding_deployment"],
    model=azure_configs["embedding_name"],
))


loader = PyPDFLoader(file_path="./data/sasfd.pdf")
docs = loader.load()

generator = TestsetGenerator(llm=generator_llm)
dataset = generator.generate_with_langchain_docs(docs, testset_size=10, transforms_embedding_model=generator_embeddings)

dataset.to_pandas()

Error trace

D:\software\Anaconda3\envs\ragas\python.exe E:\workspace\tensorlib\EC\ragas\doc_demo_local.py 
Applying SummaryExtractor:  10%|█         | 1/10 [00:02<00:23,  2.63s/it]Property 'summary' already exists in node 'bee747'. Skipping!
Applying SummaryExtractor:  50%|█████     | 5/10 [00:03<00:02,  1.98it/s]Property 'summary' already exists in node '04db4c'. Skipping!
Applying SummaryExtractor:  70%|███████   | 7/10 [00:04<00:01,  2.13it/s]Property 'summary' already exists in node '301267'. Skipping!
Property 'summary' already exists in node '79fa1a'. Skipping!
Applying SummaryExtractor:  90%|█████████ | 9/10 [00:04<00:00,  2.97it/s]Property 'summary' already exists in node '2560fc'. Skipping!
Applying [EmbeddingExtractor, ThemesExtractor, NERExtractor]:   0%|          | 0/32 [00:00<?, ?it/s]Property 'summary_embedding' already exists in node '2560fc'. Skipping!
Property 'summary_embedding' already exists in node '301267'. Skipping!
Property 'summary_embedding' already exists in node '04db4c'. Skipping!
Property 'summary_embedding' already exists in node '79fa1a'. Skipping!
Property 'summary_embedding' already exists in node 'bee747'. Skipping!
Applying [EmbeddingExtractor, ThemesExtractor, NERExtractor]:  47%|████▋     | 15/32 [00:09<00:06,  2.53it/s]Property 'themes' already exists in node 'dbda6b'. Skipping!
Property 'themes' already exists in node '301267'. Skipping!
Applying [EmbeddingExtractor, ThemesExtractor, NERExtractor]:  66%|██████▌   | 21/32 [00:09<00:02,  4.59it/s]Property 'themes' already exists in node '2560fc'. Skipping!
Applying [EmbeddingExtractor, ThemesExtractor, NERExtractor]:  75%|███████▌  | 24/32 [00:09<00:01,  4.76it/s]Property 'themes' already exists in node '4a1675'. Skipping!
Property 'themes' already exists in node '04db4c'. Skipping!
Applying [EmbeddingExtractor, ThemesExtractor, NERExtractor]:  81%|████████▏ | 26/32 [00:10<00:01,  4.87it/s]Property 'themes' already exists in node '79fa1a'. Skipping!
Property 'themes' already exists in node 'e768d8'. Skipping!
Applying [EmbeddingExtractor, ThemesExtractor, NERExtractor]:  88%|████████▊ | 28/32 [00:10<00:00,  5.78it/s]Property 'themes' already exists in node '23b252'. Skipping!
Property 'themes' already exists in node 'bee747'. Skipping!
Applying [EmbeddingExtractor, ThemesExtractor, NERExtractor]:  94%|█████████▍| 30/32 [00:10<00:00,  5.98it/s]Property 'themes' already exists in node '1403d7'. Skipping!
Property 'themes' already exists in node 'e584a5'. Skipping!
Generating personas: 100%|██████████| 3/3 [00:05<00:00,  1.83s/it]
Generating Scenarios:   0%|          | 0/3 [00:00<?, ?it/s]
Traceback (most recent call last):
  File "E:\workspace\tensorlib\EC\ragas\doc_demo_local.py", line 36, in <module>
    dataset = generator.generate_with_langchain_docs(docs, testset_size=10, transforms_embedding_model=embeddings)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\software\Anaconda3\envs\ragas\Lib\site-packages\ragas\testset\synthesizers\generate.py", line 180, in generate_with_langchain_docs
    return self.generate(
           ^^^^^^^^^^^^^^
  File "D:\software\Anaconda3\envs\ragas\Lib\site-packages\ragas\testset\synthesizers\generate.py", line 396, in generate
    raise e
  File "D:\software\Anaconda3\envs\ragas\Lib\site-packages\ragas\testset\synthesizers\generate.py", line 393, in generate
    scenario_sample_list: t.List[t.List[BaseScenario]] = exec.results()
                                                         ^^^^^^^^^^^^^^
  File "D:\software\Anaconda3\envs\ragas\Lib\site-packages\ragas\executor.py", line 200, in results
    results = asyncio.run(self._process_jobs())
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\software\Anaconda3\envs\ragas\Lib\asyncio\runners.py", line 194, in run
    return runner.run(main)
           ^^^^^^^^^^^^^^^^
  File "D:\software\Anaconda3\envs\ragas\Lib\asyncio\runners.py", line 118, in run
    return self._loop.run_until_complete(task)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\software\Anaconda3\envs\ragas\Lib\asyncio\base_events.py", line 687, in run_until_complete
    return future.result()
           ^^^^^^^^^^^^^^^
  File "D:\software\Anaconda3\envs\ragas\Lib\site-packages\ragas\executor.py", line 140, in _process_jobs
    result = await future
             ^^^^^^^^^^^^
  File "D:\software\Anaconda3\envs\ragas\Lib\asyncio\tasks.py", line 631, in _wait_for_one
    return f.result()  # May raise f.exception().
           ^^^^^^^^^^
  File "D:\software\Anaconda3\envs\ragas\Lib\site-packages\ragas\executor.py", line 45, in sema_coro
    return await coro
           ^^^^^^^^^^
  File "D:\software\Anaconda3\envs\ragas\Lib\site-packages\ragas\executor.py", line 96, in wrapped_callable_async
    raise e
  File "D:\software\Anaconda3\envs\ragas\Lib\site-packages\ragas\executor.py", line 92, in wrapped_callable_async
    result = await callable(*args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\software\Anaconda3\envs\ragas\Lib\site-packages\ragas\testset\synthesizers\base.py", line 94, in generate_scenarios
    scenarios = await self._generate_scenarios(
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\software\Anaconda3\envs\ragas\Lib\site-packages\ragas\testset\synthesizers\single_hop\specific.py", line 74, in _generate_scenarios
    raise ValueError("No nodes found with the `entities` property.")
ValueError: No nodes found with the `entities` property.
Task exception was never retrieved
future: <Task finished name='Task-326' coro=<as_completed.<locals>.sema_coro() done, defined at D:\software\Anaconda3\envs\ragas\Lib\site-packages\ragas\executor.py:43> exception=ValueError('No clusters found in the knowledge graph. Use a different Synthesizer.')>
Traceback (most recent call last):
  File "D:\software\Anaconda3\envs\ragas\Lib\site-packages\ragas\executor.py", line 45, in sema_coro
    return await coro
           ^^^^^^^^^^
  File "D:\software\Anaconda3\envs\ragas\Lib\site-packages\ragas\executor.py", line 96, in wrapped_callable_async
    raise e
  File "D:\software\Anaconda3\envs\ragas\Lib\site-packages\ragas\executor.py", line 92, in wrapped_callable_async
    result = await callable(*args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\software\Anaconda3\envs\ragas\Lib\site-packages\ragas\testset\synthesizers\base.py", line 94, in generate_scenarios
    scenarios = await self._generate_scenarios(
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\software\Anaconda3\envs\ragas\Lib\site-packages\ragas\testset\synthesizers\multi_hop\abstract.py", line 74, in _generate_scenarios
    raise ValueError(
ValueError: No clusters found in the knowledge graph. Use a different Synthesizer.
Task exception was never retrieved
future: <Task finished name='Task-327' coro=<as_completed.<locals>.sema_coro() done, defined at D:\software\Anaconda3\envs\ragas\Lib\site-packages\ragas\executor.py:43> exception=ZeroDivisionError('division by zero')>
Traceback (most recent call last):
  File "D:\software\Anaconda3\envs\ragas\Lib\site-packages\ragas\executor.py", line 45, in sema_coro
    return await coro
           ^^^^^^^^^^
  File "D:\software\Anaconda3\envs\ragas\Lib\site-packages\ragas\executor.py", line 96, in wrapped_callable_async
    raise e
  File "D:\software\Anaconda3\envs\ragas\Lib\site-packages\ragas\executor.py", line 92, in wrapped_callable_async
    result = await callable(*args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\software\Anaconda3\envs\ragas\Lib\site-packages\ragas\testset\synthesizers\base.py", line 94, in generate_scenarios
    scenarios = await self._generate_scenarios(
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\software\Anaconda3\envs\ragas\Lib\site-packages\ragas\testset\synthesizers\multi_hop\specific.py", line 83, in _generate_scenarios
    num_sample_per_cluster = int(np.ceil(n / len(node_clusters)))
                                         ^^^^^^^^^^^^^^^^^^^^^^
ZeroDivisionError: division by zero

Process finished with exit code 1

Expected behavior
A clear and concise description of what you expected to happen.

Additional context
Add any other context about the problem here.

thank you!

[jjmachan]

we have fixed with with #1661 and will be released in a couple of hours 🙂

I'll ping you once it is out!