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Fixed Typo Error in Update get_started.mdx file by addressing a minor typographical error. (#11154)

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Fixed Typo Error in Update get_started.mdx file by addressing a minor
typographical error.

This improvement enhances the readability and correctness of the
notebook, making it easier for users to understand and follow the
demonstration. The commit aims to maintain the quality and accuracy of
the content within the repository.
please review the change at your convenience.

@baskaryan , @hwaking
This commit is contained in:
Aashish Saini 2023-09-28 19:24:43 +05:30 committed by GitHub
parent 53a9d6115e
commit 573c846112
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10
docs/snippets/modules/data_connection/retrievers/get_started.mdx
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@ -101,7 +101,7 @@ Now that the index is created, we can use it to ask questions of the data! Note
```python
query = "What did the president say about Ketanji Brown Jackson"
query = "What did the president say about Ketanji Brown Jackson?"
index.query(query)
```
@ -115,14 +115,14 @@ index.query(query)
```python
query = "What did the president say about Ketanji Brown Jackson"
query = "What did the president say about Ketanji Brown Jackson?"
index.query_with_sources(query)
```
<CodeOutputBlock lang="python">
```
{'question': 'What did the president say about Ketanji Brown Jackson',
{'question': 'What did the president say about Ketanji Brown Jackson?',
'answer': " The president said that he nominated Circuit Court of Appeals Judge Ketanji Brown Jackson, one of the nation's top legal minds, to continue Justice Breyer's legacy of excellence, and that she has received a broad range of support from the Fraternal Order of Police to former judges appointed by Democrats and Republicans.\n",
'sources': '../state_of_the_union.txt'}
```
@ -159,7 +159,7 @@ index.vectorstore.as_retriever()
</CodeOutputBlock>
It can also be convenient to filter the vector store by the metadata associated with documents, particularly when your vector store has multiple sources. This can be done using the `query` method like so:
It can also be convenient to filter the vector store by the metadata associated with documents, particularly when your vector store has multiple sources. This can be done using the `query` method, like this:
```python
@ -244,7 +244,7 @@ qa = RetrievalQA.from_chain_type(llm=OpenAI(), chain_type="stuff", retriever=ret
```python
query = "What did the president say about Ketanji Brown Jackson"
query = "What did the president say about Ketanji Brown Jackson?"
qa.run(query)
```