Custom Retriever Node
The Custom Retriever node is a specialized retriever component designed to fetch and format results from a vector store based on a predefined format. It extends the functionality of a standard vector store retriever by allowing customization of the output format.
Node Details
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Name: customRetriever
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Type: CustomRetriever
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Category: Retrievers
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Version: 1.0
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Base Classes: CustomRetriever, BaseRetriever
Input Parameters
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Vector Store (required)
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Type: VectorStore
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Description: The vector store to retrieve documents from.
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Query (optional)
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Type: string
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Description: The query to retrieve documents. If not specified, the user’s question will be used.
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Accepts variables: Yes
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Result Format (required)
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Type: string
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Description: Format template for the returned results. Use
{{context}}
to insert the document’s content and{{metadata.key}}
to insert metadata values. -
Default: “
{{context}}\nSource: {{metadata.source}}
”
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Top K (optional)
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Type: number
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Description: Number of top results to fetch. Defaults to the vector store’s topK value or 4 if not specified.
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Default: 4
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Outputs
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Custom Retriever
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Type: CustomRetriever
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Description: The initialized custom retriever object.
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Document
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Type: Array of Document objects
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Description: An array of document objects containing metadata and formatted page content.
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Text
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Type: string
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Description: A concatenated string of the formatted page content from all retrieved documents.
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Functionality
The Custom Retriever node enhances the standard vector store retrieval process by:
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Allowing customization of the number of results to retrieve (topK).
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Providing a flexible template system for formatting the retrieved results.
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Enabling access to both document content and metadata in the output format.
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Offering multiple output types (retriever object, document array, or concatenated text).
Usage
This node is particularly useful when you need to:
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Customize the presentation of retrieved documents.
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Include specific metadata fields in the output.
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Control the number of results returned from the vector store.
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Integrate retrieved information into a larger language model workflow with a consistent format.
Example
If you set the Result Format to:
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