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update docs #974

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Aug 23, 2024
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update docs #974

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13 changes: 13 additions & 0 deletions docs/docs/confident-ai-tracing-langchain.mdx
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Expand Up @@ -53,6 +53,19 @@ Confident AI supports **multiple LangChain trace types**. For example, when you
- Tool
- Generic

## Returning Sources

If your RAG application is returning retrieval documents using LangChain's `RunnableParallel`, you must use assign the output of your RAG chain to the `RunnableParallel` object using **only the `output` key**.

```python
from langchain_core.runnables import RunnableParallel
...

rag_chain_with_source = RunnableParallel(
{"context": retriever, "question": RunnablePassthrough()}
).assign(output=rag_chain_from_docs) # use the output key
```

## Example: Tracing your LangChain Application

### 1. Import and Configure Models
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