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Contextual Compression Retriever#

The Contextual Compression Retriever node improves the answers returned from vector store document similarity searches by taking into account the context from the query.

Parameter resolution in sub-nodes

Sub-nodes behave differently to other nodes when processing multiple items using an expression.

Most nodes, including root nodes, take any number of items as input, process these items, and output the results. You can use expressions to refer to input items, and the node resolves the expression for each item in turn. For example, given an input of five name values, the expression {{ $json.name }} resolves to each name in turn.

In sub-nodes, the expression always resolves to the first item. For example, given an input of five name values, the expression {{ $json.name }} always resolves to the first name.

Templates and examples#

Ask questions about a PDF using AI

by David Roberts

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AI Crew to Automate Fundamental Stock Analysis - Q&A Workflow

by Derek Cheung

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AI: Ask questions about any data source (using the n8n workflow retriever)

by n8n Team

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Browse Contextual Compression Retriever integration templates, or search all templates

Refer to LangChain's contextual compression retriever documentation for more information about the service.

View n8n's Advanced AI documentation.