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docs: Correct grammatical typos in various documentation files (#29983)

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**Description:**
Fixed grammatical typos in various documentation files

**Issue:**
N/A

**Dependencies:**
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**Twitter handle:**
@MrNaveenSK

Co-authored-by: ccurme <chester.curme@gmail.com>
This commit is contained in:
Naveen SK
2025-02-26 00:43:31 +05:30
committed by GitHub
parent 1158d3134d
commit 21bfc95e14
8 changed files with 8 additions and 8 deletions
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2
libs/langchain/langchain/chains/elasticsearch_database/prompts.py
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@@ -9,7 +9,7 @@ ESQuery:"""
DEFAULT_DSL_TEMPLATE = """Given an input question, create a syntactically correct Elasticsearch query to run. Unless the user specifies in their question a specific number of examples they wish to obtain, always limit your query to at most {top_k} results. You can order the results by a relevant column to return the most interesting examples in the database.
Unless told to do not query for all the columns from a specific index, only ask for a the few relevant columns given the question.
Unless told to do not query for all the columns from a specific index, only ask for a few relevant columns given the question.
Pay attention to use only the column names that you can see in the mapping description. Be careful to not query for columns that do not exist. Also, pay attention to which column is in which index. Return the query as valid json.

2
libs/langchain/langchain/chains/sql_database/prompt.py
View File

@@ -10,7 +10,7 @@ Question: {input}"""
_DEFAULT_TEMPLATE = """Given an input question, first create a syntactically correct {dialect} query to run, then look at the results of the query and return the answer. Unless the user specifies in his question a specific number of examples he wishes to obtain, always limit your query to at most {top_k} results. You can order the results by a relevant column to return the most interesting examples in the database.
Never query for all the columns from a specific table, only ask for a the few relevant columns given the question.
Never query for all the columns from a specific table, only ask for a few relevant columns given the question.
Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Also, pay attention to which column is in which table.