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docs: correct small typos in Testset Generation page and related md components #2123

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532b6f0
docs: fix typos in testset generation page and component
deibid Jul 18, 2025
33bd959
docs: capitalize lines for consistency
deibid Jul 18, 2025
14efc16
docs: restore paragraph format
deibid Jul 18, 2025
c72ac09
docs: fix more typos
deibid Jul 18, 2025
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8 changes: 4 additions & 4 deletions docs/extra/components/choose_generator_llm.md
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Expand Up @@ -5,14 +5,14 @@
pip install langchain-openai
```

then ensure you have your OpenAI key ready and available in your environment
Then ensure you have your OpenAI key ready and available in your environment

```python
import os
os.environ["OPENAI_API_KEY"] = "your-openai-key"
```

Wrapp the LLMs in `LangchainLLMWrapper` so that it can be used with ragas.
Wrap the LLMs in `LangchainLLMWrapper` so that it can be used with ragas.

```python
from ragas.llms import LangchainLLMWrapper
Expand All @@ -31,7 +31,7 @@
pip install langchain-aws
```

then you have to set your AWS credentials and configurations
Then you have to set your AWS credentials and configurations

```python
config = {
Expand All @@ -43,7 +43,7 @@
}
```

define you LLMs and wrap them in `LangchainLLMWrapper` so that it can be used with ragas.
Define your LLMs and wrap them in `LangchainLLMWrapper` so that it can be used with ragas.

```python
from langchain_aws import ChatBedrockConverse
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2 changes: 1 addition & 1 deletion docs/getstarted/rag_testset_generation.md
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Expand Up @@ -3,7 +3,7 @@
This simple guide will help you generate a testset for evaluating your RAG pipeline using your own documents.

## Quickstart
Let's walk through an quick example of generating a testset for a RAG pipeline. Following that will will explore the main components of the testset generation pipeline.
Let's walk through a quick example of generating a testset for a RAG pipeline. Following that we will explore the main components of the testset generation pipeline.

### Load Sample Documents

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