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Documentation Index

Fetch the complete documentation index at: https://langchain.idochub.dev/llms.txt

Use this file to discover all available pages before exploring further.

Amazon Kendra is an intelligent search service provided by Amazon Web Services (AWS). It utilizes advanced natural language processing (NLP) and machine learning algorithms to enable powerful search capabilities across various data sources within an organization. Kendra is designed to help users find the information they need quickly and accurately, improving productivity and decision-making.
With Kendra, users can search across a wide range of content types, including documents, FAQs, knowledge bases, manuals, and websites. It supports multiple languages and can understand complex queries, synonyms, and contextual meanings to provide highly relevant search results.

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Using the Amazon Kendra Index Retriever

%pip install -qU  boto3

from langchain_community.retrievers import AmazonKendraRetriever
Create New Retriever 
retriever = AmazonKendraRetriever(index_id="c0806df7-e76b-4bce-9b5c-d5582f6b1a03")
Now you can use retrieved documents from Kendra index 
retriever.invoke("what is langchain")