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Fix grammatical issue in optimization guides (#1941)

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el2e10 2022-01-03 15:36:13 +05:30 committed by GitHub
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2
docs/_src/usage/usage/optimization.md
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@ -42,7 +42,7 @@ which is why we recommend using the `PreProcessor` class to clean and split your
For **sparse retrievers**, very long documents pose a challenge since the signal of the relevant section of text
can get washed out by the rest of the document.
To get a good balance between Reader speed and Retriever performance, we splitting documents to a maximum of 500 words.
To get a good balance between Reader speed and Retriever performance, we split documents to a maximum of 500 words.
If there is no Reader in the pipeline following the Retriever, we recommend that **documents be no longer than 10,000 words**.
**Dense retrievers** are limited in the length of text that they can read in one pass.

2
docs/v0.10.0/_src/usage/usage/optimization.md
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@ -42,7 +42,7 @@ which is why we recommend using the `PreProcessor` class to clean and split your
For **sparse retrievers**, very long documents pose a challenge since the signal of the relevant section of text
can get washed out by the rest of the document.
To get a good balance between Reader speed and Retriever performance, we splitting documents to a maximum of 500 words.
To get a good balance between Reader speed and Retriever performance, we split documents to a maximum of 500 words.
If there is no Reader in the pipeline following the Retriever, we recommend that **documents be no longer than 10,000 words**.
**Dense retrievers** are limited in the length of text that they can read in one pass.

2
docs/v0.9.0/_src/usage/usage/optimization.md
View File

@ -42,7 +42,7 @@ which is why we recommend using the `PreProcessor` class to clean and split your
For **sparse retrievers**, very long documents pose a challenge since the signal of the relevant section of text
can get washed out by the rest of the document.
To get a good balance between Reader speed and Retriever performance, we splitting documents to a maximum of 500 words.
To get a good balance between Reader speed and Retriever performance, we split documents to a maximum of 500 words.
If there is no Reader in the pipeline following the Retriever, we recommend that **documents be no longer than 10,000 words**.
**Dense retrievers** are limited in the length of text that they can read in one pass.

2
docs/v1.0.0/_src/usage/usage/optimization.md
View File

@ -42,7 +42,7 @@ which is why we recommend using the `PreProcessor` class to clean and split your
For **sparse retrievers**, very long documents pose a challenge since the signal of the relevant section of text
can get washed out by the rest of the document.
To get a good balance between Reader speed and Retriever performance, we splitting documents to a maximum of 500 words.
To get a good balance between Reader speed and Retriever performance, we split documents to a maximum of 500 words.
If there is no Reader in the pipeline following the Retriever, we recommend that **documents be no longer than 10,000 words**.
**Dense retrievers** are limited in the length of text that they can read in one pass.